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You searched for subject:(Cluster Analysis). Showing records 1 – 30 of 1082 total matches.

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University of Georgia

1. Butzon, Colby Douglas. Teacher-rated personality types in middle childhood: prediction of peer-reported social adjustment.

Degree: PhD, School Psychology, 2008, University of Georgia

 Three primary objectives were proposed in the current study. The first objective was to identify a typology of personality based on teacher ratings of individuals… (more)

Subjects/Keywords: Cluster Analysis

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APA (6th Edition):

Butzon, C. D. (2008). Teacher-rated personality types in middle childhood: prediction of peer-reported social adjustment. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/butzon_colby_d_200808_phd

Chicago Manual of Style (16th Edition):

Butzon, Colby Douglas. “Teacher-rated personality types in middle childhood: prediction of peer-reported social adjustment.” 2008. Doctoral Dissertation, University of Georgia. Accessed August 03, 2020. http://purl.galileo.usg.edu/uga_etd/butzon_colby_d_200808_phd.

MLA Handbook (7th Edition):

Butzon, Colby Douglas. “Teacher-rated personality types in middle childhood: prediction of peer-reported social adjustment.” 2008. Web. 03 Aug 2020.

Vancouver:

Butzon CD. Teacher-rated personality types in middle childhood: prediction of peer-reported social adjustment. [Internet] [Doctoral dissertation]. University of Georgia; 2008. [cited 2020 Aug 03]. Available from: http://purl.galileo.usg.edu/uga_etd/butzon_colby_d_200808_phd.

Council of Science Editors:

Butzon CD. Teacher-rated personality types in middle childhood: prediction of peer-reported social adjustment. [Doctoral Dissertation]. University of Georgia; 2008. Available from: http://purl.galileo.usg.edu/uga_etd/butzon_colby_d_200808_phd


University of Georgia

2. Zhuang, Yuan. Time series clustering using copula-based higher order Markov process.

Degree: PhD, Statistics, 2015, University of Georgia

 In model-based time series clustering, most models used only allow linear dependence. This could lead to unsatisfactory clustering results due to the limited use of… (more)

Subjects/Keywords: cluster analysis

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APA (6th Edition):

Zhuang, Y. (2015). Time series clustering using copula-based higher order Markov process. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/zhuang_yuan_201512_phd

Chicago Manual of Style (16th Edition):

Zhuang, Yuan. “Time series clustering using copula-based higher order Markov process.” 2015. Doctoral Dissertation, University of Georgia. Accessed August 03, 2020. http://purl.galileo.usg.edu/uga_etd/zhuang_yuan_201512_phd.

MLA Handbook (7th Edition):

Zhuang, Yuan. “Time series clustering using copula-based higher order Markov process.” 2015. Web. 03 Aug 2020.

Vancouver:

Zhuang Y. Time series clustering using copula-based higher order Markov process. [Internet] [Doctoral dissertation]. University of Georgia; 2015. [cited 2020 Aug 03]. Available from: http://purl.galileo.usg.edu/uga_etd/zhuang_yuan_201512_phd.

Council of Science Editors:

Zhuang Y. Time series clustering using copula-based higher order Markov process. [Doctoral Dissertation]. University of Georgia; 2015. Available from: http://purl.galileo.usg.edu/uga_etd/zhuang_yuan_201512_phd

3. Majeed, Salar Mustafa. Cluster detection and analysis with geo-spatial datasets using a hybrid statistical and neural networks hierarchical approach.

Degree: PhD, University of Glamorgan, 2012, University of South Wales

 Spatial datasets contain information relating to the locations of incidents of phenomena for example, crime and disease. Areas that contain a higher than expected incidence… (more)

Subjects/Keywords: Cluster analysis

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APA (6th Edition):

Majeed, S. M. (2012). Cluster detection and analysis with geo-spatial datasets using a hybrid statistical and neural networks hierarchical approach. (Doctoral Dissertation). University of South Wales. Retrieved from http://hdl.handle.net/10265/582

Chicago Manual of Style (16th Edition):

Majeed, Salar Mustafa. “Cluster detection and analysis with geo-spatial datasets using a hybrid statistical and neural networks hierarchical approach.” 2012. Doctoral Dissertation, University of South Wales. Accessed August 03, 2020. http://hdl.handle.net/10265/582.

MLA Handbook (7th Edition):

Majeed, Salar Mustafa. “Cluster detection and analysis with geo-spatial datasets using a hybrid statistical and neural networks hierarchical approach.” 2012. Web. 03 Aug 2020.

Vancouver:

Majeed SM. Cluster detection and analysis with geo-spatial datasets using a hybrid statistical and neural networks hierarchical approach. [Internet] [Doctoral dissertation]. University of South Wales; 2012. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/10265/582.

Council of Science Editors:

Majeed SM. Cluster detection and analysis with geo-spatial datasets using a hybrid statistical and neural networks hierarchical approach. [Doctoral Dissertation]. University of South Wales; 2012. Available from: http://hdl.handle.net/10265/582


Rutgers University

4. Toso, Rodrigo Franco, 1981-. Adaptive clustering with a variance-aware criterion: an alternative to k-means.

Degree: PhD, Computer Science, 2016, Rutgers University

This research investigates the effectiveness of a non-convex clustering criterion with the ability to discriminate clusters by means of quadratic boundaries that take into account… (more)

Subjects/Keywords: Cluster analysis

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APA (6th Edition):

Toso, Rodrigo Franco, 1. (2016). Adaptive clustering with a variance-aware criterion: an alternative to k-means. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/50234/

Chicago Manual of Style (16th Edition):

Toso, Rodrigo Franco, 1981-. “Adaptive clustering with a variance-aware criterion: an alternative to k-means.” 2016. Doctoral Dissertation, Rutgers University. Accessed August 03, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/50234/.

MLA Handbook (7th Edition):

Toso, Rodrigo Franco, 1981-. “Adaptive clustering with a variance-aware criterion: an alternative to k-means.” 2016. Web. 03 Aug 2020.

Vancouver:

Toso, Rodrigo Franco 1. Adaptive clustering with a variance-aware criterion: an alternative to k-means. [Internet] [Doctoral dissertation]. Rutgers University; 2016. [cited 2020 Aug 03]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/50234/.

Council of Science Editors:

Toso, Rodrigo Franco 1. Adaptive clustering with a variance-aware criterion: an alternative to k-means. [Doctoral Dissertation]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/50234/


University of Georgia

5. Messemer, Jonathan E. Influences on teacher decision-making in correctional education classrooms.

Degree: EdD, Adult Education, 2006, University of Georgia

 The focus of most empirical studies on correctional education pertains to the inmates. The purpose of this study was to understand better the dimensions of… (more)

Subjects/Keywords: Cluster Analysis

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APA (6th Edition):

Messemer, J. E. (2006). Influences on teacher decision-making in correctional education classrooms. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/messemer_jonathan_e_200608_edd

Chicago Manual of Style (16th Edition):

Messemer, Jonathan E. “Influences on teacher decision-making in correctional education classrooms.” 2006. Doctoral Dissertation, University of Georgia. Accessed August 03, 2020. http://purl.galileo.usg.edu/uga_etd/messemer_jonathan_e_200608_edd.

MLA Handbook (7th Edition):

Messemer, Jonathan E. “Influences on teacher decision-making in correctional education classrooms.” 2006. Web. 03 Aug 2020.

Vancouver:

Messemer JE. Influences on teacher decision-making in correctional education classrooms. [Internet] [Doctoral dissertation]. University of Georgia; 2006. [cited 2020 Aug 03]. Available from: http://purl.galileo.usg.edu/uga_etd/messemer_jonathan_e_200608_edd.

Council of Science Editors:

Messemer JE. Influences on teacher decision-making in correctional education classrooms. [Doctoral Dissertation]. University of Georgia; 2006. Available from: http://purl.galileo.usg.edu/uga_etd/messemer_jonathan_e_200608_edd


Universiteit Utrecht

6. Rammo, R.E.D. A cluster analysis in traumatized refugees: high versus low pathology.

Degree: 2014, Universiteit Utrecht

 Previous studies concluded that worldwide tens of thousands (former) refugees who resettled in Western countries probably have post-traumatic stress disorder (PTSD). Miller (2003, 2004) demonstrated… (more)

Subjects/Keywords: Trauma; refugees; cluster analysis

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APA (6th Edition):

Rammo, R. E. D. (2014). A cluster analysis in traumatized refugees: high versus low pathology. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/301253

Chicago Manual of Style (16th Edition):

Rammo, R E D. “A cluster analysis in traumatized refugees: high versus low pathology.” 2014. Masters Thesis, Universiteit Utrecht. Accessed August 03, 2020. http://dspace.library.uu.nl:8080/handle/1874/301253.

MLA Handbook (7th Edition):

Rammo, R E D. “A cluster analysis in traumatized refugees: high versus low pathology.” 2014. Web. 03 Aug 2020.

Vancouver:

Rammo RED. A cluster analysis in traumatized refugees: high versus low pathology. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2020 Aug 03]. Available from: http://dspace.library.uu.nl:8080/handle/1874/301253.

Council of Science Editors:

Rammo RED. A cluster analysis in traumatized refugees: high versus low pathology. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/301253


University of Alberta

7. Maruta, Admasu A. Heterogeneity in Attitudes Underlying Preferences for Genomic Technology Producing Hybrid Poplars on Public Land.

Degree: MS, Department of Resource Economics and Environmental Sociology, 2016, University of Alberta

 This study investigates the public preference heterogeneity of planting genetically improved poplar tree on public land for biofuel production in Western Canada. Using a sample… (more)

Subjects/Keywords: Preference; Heterogeneity; Cluster Analysis

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APA (6th Edition):

Maruta, A. A. (2016). Heterogeneity in Attitudes Underlying Preferences for Genomic Technology Producing Hybrid Poplars on Public Land. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/c6682x413m

Chicago Manual of Style (16th Edition):

Maruta, Admasu A. “Heterogeneity in Attitudes Underlying Preferences for Genomic Technology Producing Hybrid Poplars on Public Land.” 2016. Masters Thesis, University of Alberta. Accessed August 03, 2020. https://era.library.ualberta.ca/files/c6682x413m.

MLA Handbook (7th Edition):

Maruta, Admasu A. “Heterogeneity in Attitudes Underlying Preferences for Genomic Technology Producing Hybrid Poplars on Public Land.” 2016. Web. 03 Aug 2020.

Vancouver:

Maruta AA. Heterogeneity in Attitudes Underlying Preferences for Genomic Technology Producing Hybrid Poplars on Public Land. [Internet] [Masters thesis]. University of Alberta; 2016. [cited 2020 Aug 03]. Available from: https://era.library.ualberta.ca/files/c6682x413m.

Council of Science Editors:

Maruta AA. Heterogeneity in Attitudes Underlying Preferences for Genomic Technology Producing Hybrid Poplars on Public Land. [Masters Thesis]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/c6682x413m


Delft University of Technology

8. Grapperhaus, Valentijn (author). From Zero To Hero: Identifying Vendor Characteristics that Impact Vendor Performance on Darknet Markets.

Degree: 2019, Delft University of Technology

The thesis reconstructed and analysed transaction-level data of a particular darknet market. Moreover, the thesis reveals what kind of vendors are active on this darknet… (more)

Subjects/Keywords: Vendors; Cluster analysis; Cryptomarket; Darknet

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APA (6th Edition):

Grapperhaus, V. (. (2019). From Zero To Hero: Identifying Vendor Characteristics that Impact Vendor Performance on Darknet Markets. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:692aa4af-6dbb-413f-8899-3287dc36d01d

Chicago Manual of Style (16th Edition):

Grapperhaus, Valentijn (author). “From Zero To Hero: Identifying Vendor Characteristics that Impact Vendor Performance on Darknet Markets.” 2019. Masters Thesis, Delft University of Technology. Accessed August 03, 2020. http://resolver.tudelft.nl/uuid:692aa4af-6dbb-413f-8899-3287dc36d01d.

MLA Handbook (7th Edition):

Grapperhaus, Valentijn (author). “From Zero To Hero: Identifying Vendor Characteristics that Impact Vendor Performance on Darknet Markets.” 2019. Web. 03 Aug 2020.

Vancouver:

Grapperhaus V(. From Zero To Hero: Identifying Vendor Characteristics that Impact Vendor Performance on Darknet Markets. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Aug 03]. Available from: http://resolver.tudelft.nl/uuid:692aa4af-6dbb-413f-8899-3287dc36d01d.

Council of Science Editors:

Grapperhaus V(. From Zero To Hero: Identifying Vendor Characteristics that Impact Vendor Performance on Darknet Markets. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:692aa4af-6dbb-413f-8899-3287dc36d01d


Rutgers University

9. Iyigun, Cem. Probabilistic distance clustering.

Degree: PhD, Operations Research, 2008, Rutgers University

We present a new iterative method for probabilistic clustering of data. Given clusters, their centers, and the distances of data points from these centers, the… (more)

Subjects/Keywords: Cluster analysis

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APA (6th Edition):

Iyigun, C. (2008). Probabilistic distance clustering. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17142

Chicago Manual of Style (16th Edition):

Iyigun, Cem. “Probabilistic distance clustering.” 2008. Doctoral Dissertation, Rutgers University. Accessed August 03, 2020. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17142.

MLA Handbook (7th Edition):

Iyigun, Cem. “Probabilistic distance clustering.” 2008. Web. 03 Aug 2020.

Vancouver:

Iyigun C. Probabilistic distance clustering. [Internet] [Doctoral dissertation]. Rutgers University; 2008. [cited 2020 Aug 03]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17142.

Council of Science Editors:

Iyigun C. Probabilistic distance clustering. [Doctoral Dissertation]. Rutgers University; 2008. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17142


Rutgers University

10. Sun, Qiankun. Statistical modeling and inference for multiple temporal or spatial cluster detection.

Degree: PhD, Statistics and Biostatistics, 2008, Rutgers University

This thesis develops a latent modeling framework and likelihood based inference tool to detect multiple temporal or spatial clusters. Cluster detection is important to researchers… (more)

Subjects/Keywords: Cluster analysis

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APA (6th Edition):

Sun, Q. (2008). Statistical modeling and inference for multiple temporal or spatial cluster detection. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000050446

Chicago Manual of Style (16th Edition):

Sun, Qiankun. “Statistical modeling and inference for multiple temporal or spatial cluster detection.” 2008. Doctoral Dissertation, Rutgers University. Accessed August 03, 2020. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000050446.

MLA Handbook (7th Edition):

Sun, Qiankun. “Statistical modeling and inference for multiple temporal or spatial cluster detection.” 2008. Web. 03 Aug 2020.

Vancouver:

Sun Q. Statistical modeling and inference for multiple temporal or spatial cluster detection. [Internet] [Doctoral dissertation]. Rutgers University; 2008. [cited 2020 Aug 03]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000050446.

Council of Science Editors:

Sun Q. Statistical modeling and inference for multiple temporal or spatial cluster detection. [Doctoral Dissertation]. Rutgers University; 2008. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000050446


Rutgers University

11. Li, Junyi, 1980-. Potts model clustering for discovering patterns of epigenetic marks.

Degree: PhD, Physics and Astronomy, 2011, Rutgers University

Study of epigenetics leads to understanding of the regulation of gene expression not caused by the changes in the underlying DNA sequences. This area of… (more)

Subjects/Keywords: Epigenesis – Research; Histones; Cluster analysis

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APA (6th Edition):

Li, Junyi, 1. (2011). Potts model clustering for discovering patterns of epigenetic marks. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000057612

Chicago Manual of Style (16th Edition):

Li, Junyi, 1980-. “Potts model clustering for discovering patterns of epigenetic marks.” 2011. Doctoral Dissertation, Rutgers University. Accessed August 03, 2020. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000057612.

MLA Handbook (7th Edition):

Li, Junyi, 1980-. “Potts model clustering for discovering patterns of epigenetic marks.” 2011. Web. 03 Aug 2020.

Vancouver:

Li, Junyi 1. Potts model clustering for discovering patterns of epigenetic marks. [Internet] [Doctoral dissertation]. Rutgers University; 2011. [cited 2020 Aug 03]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000057612.

Council of Science Editors:

Li, Junyi 1. Potts model clustering for discovering patterns of epigenetic marks. [Doctoral Dissertation]. Rutgers University; 2011. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000057612


Hong Kong University of Science and Technology

12. Chan, Alton Kam Fai. Hyperplane based efficient clustering and searching.

Degree: 2003, Hong Kong University of Science and Technology

 Several optimal algorithms for M-clustering problem using hyperplane based k-d tree and subspace vector quantization are proposed. Based on the property of hyperplane k-d tree… (more)

Subjects/Keywords: Cluster analysis

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APA (6th Edition):

Chan, A. K. F. (2003). Hyperplane based efficient clustering and searching. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-4690 ; https://doi.org/10.14711/thesis-b808752 ; http://repository.ust.hk/ir/bitstream/1783.1-4690/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chan, Alton Kam Fai. “Hyperplane based efficient clustering and searching.” 2003. Thesis, Hong Kong University of Science and Technology. Accessed August 03, 2020. http://repository.ust.hk/ir/Record/1783.1-4690 ; https://doi.org/10.14711/thesis-b808752 ; http://repository.ust.hk/ir/bitstream/1783.1-4690/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chan, Alton Kam Fai. “Hyperplane based efficient clustering and searching.” 2003. Web. 03 Aug 2020.

Vancouver:

Chan AKF. Hyperplane based efficient clustering and searching. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2003. [cited 2020 Aug 03]. Available from: http://repository.ust.hk/ir/Record/1783.1-4690 ; https://doi.org/10.14711/thesis-b808752 ; http://repository.ust.hk/ir/bitstream/1783.1-4690/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chan AKF. Hyperplane based efficient clustering and searching. [Thesis]. Hong Kong University of Science and Technology; 2003. Available from: http://repository.ust.hk/ir/Record/1783.1-4690 ; https://doi.org/10.14711/thesis-b808752 ; http://repository.ust.hk/ir/bitstream/1783.1-4690/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Ryerson University

13. Rahman, Faizan Ur. Kernel k-MACE: hypercube unsupervised clustering method.

Degree: 2017, Ryerson University

 Transforming data to feature space using a kernel function can result in better expression of its features, resulting in better separability for some datasets. The… (more)

Subjects/Keywords: Cluster analysis  – Data processing.; Kernal functions.; Cluster analysis.; Gaussian processes.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rahman, F. U. (2017). Kernel k-MACE: hypercube unsupervised clustering method. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A6929

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rahman, Faizan Ur. “Kernel k-MACE: hypercube unsupervised clustering method.” 2017. Thesis, Ryerson University. Accessed August 03, 2020. https://digital.library.ryerson.ca/islandora/object/RULA%3A6929.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rahman, Faizan Ur. “Kernel k-MACE: hypercube unsupervised clustering method.” 2017. Web. 03 Aug 2020.

Vancouver:

Rahman FU. Kernel k-MACE: hypercube unsupervised clustering method. [Internet] [Thesis]. Ryerson University; 2017. [cited 2020 Aug 03]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6929.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rahman FU. Kernel k-MACE: hypercube unsupervised clustering method. [Thesis]. Ryerson University; 2017. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6929

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rhodes University

14. Ndebele, Nothando Elizabeth. Clustering algorithms and their effect on edge preservation in image compression.

Degree: Faculty of Science, Statistics, 2009, Rhodes University

 Image compression aims to reduce the amount of data that is stored or transmitted for images. One technique that may be used to this end… (more)

Subjects/Keywords: Image compression; Vector analysis; Cluster analysis; Cluster anaylsis  – Data processing; Algorithms

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APA (6th Edition):

Ndebele, N. E. (2009). Clustering algorithms and their effect on edge preservation in image compression. (Thesis). Rhodes University. Retrieved from http://hdl.handle.net/10962/d1008210

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ndebele, Nothando Elizabeth. “Clustering algorithms and their effect on edge preservation in image compression.” 2009. Thesis, Rhodes University. Accessed August 03, 2020. http://hdl.handle.net/10962/d1008210.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ndebele, Nothando Elizabeth. “Clustering algorithms and their effect on edge preservation in image compression.” 2009. Web. 03 Aug 2020.

Vancouver:

Ndebele NE. Clustering algorithms and their effect on edge preservation in image compression. [Internet] [Thesis]. Rhodes University; 2009. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/10962/d1008210.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ndebele NE. Clustering algorithms and their effect on edge preservation in image compression. [Thesis]. Rhodes University; 2009. Available from: http://hdl.handle.net/10962/d1008210

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Michigan State University

15. Yi, Jinfeng. Data clustering with pairwise constraints.

Degree: 2014, Michigan State University

Thesis Ph. D. Michigan State University. Computer Science 2014.

The classical unsupervised clustering is an ill-posed problem due to the absence of a unique clustering… (more)

Subjects/Keywords: Cluster analysis; Cluster analysis – Data processing; Computer science

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APA (6th Edition):

Yi, J. (2014). Data clustering with pairwise constraints. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:3076

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yi, Jinfeng. “Data clustering with pairwise constraints.” 2014. Thesis, Michigan State University. Accessed August 03, 2020. http://etd.lib.msu.edu/islandora/object/etd:3076.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yi, Jinfeng. “Data clustering with pairwise constraints.” 2014. Web. 03 Aug 2020.

Vancouver:

Yi J. Data clustering with pairwise constraints. [Internet] [Thesis]. Michigan State University; 2014. [cited 2020 Aug 03]. Available from: http://etd.lib.msu.edu/islandora/object/etd:3076.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yi J. Data clustering with pairwise constraints. [Thesis]. Michigan State University; 2014. Available from: http://etd.lib.msu.edu/islandora/object/etd:3076

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

16. Corral, Gavin Richard. Investigating Selection Criteria of Constrained Cluster Analysis: Applications in Forestry.

Degree: MS, Statistics, 2014, Virginia Tech

 Forest measurements are inherently spatial. Soil productivity varies spatially at fine scales and tree growth responds by changes in growth-age trajectories. Measuring spatial variability is… (more)

Subjects/Keywords: Simulation; Redundancy Analysis; Cluster Analysis; Forestry

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APA (6th Edition):

Corral, G. R. (2014). Investigating Selection Criteria of Constrained Cluster Analysis: Applications in Forestry. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78176

Chicago Manual of Style (16th Edition):

Corral, Gavin Richard. “Investigating Selection Criteria of Constrained Cluster Analysis: Applications in Forestry.” 2014. Masters Thesis, Virginia Tech. Accessed August 03, 2020. http://hdl.handle.net/10919/78176.

MLA Handbook (7th Edition):

Corral, Gavin Richard. “Investigating Selection Criteria of Constrained Cluster Analysis: Applications in Forestry.” 2014. Web. 03 Aug 2020.

Vancouver:

Corral GR. Investigating Selection Criteria of Constrained Cluster Analysis: Applications in Forestry. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/10919/78176.

Council of Science Editors:

Corral GR. Investigating Selection Criteria of Constrained Cluster Analysis: Applications in Forestry. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/78176


University of Missouri – Columbia

17. Zhang, Xinyan, 1976-. Regression analysis of clustered interval-censored failure time data with informative cluster size.

Degree: 2010, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Correlated or clustered failure time data often occur in many research fields including epidemiological, geographical,… (more)

Subjects/Keywords: Cluster analysis; Failure time data analysis

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APA (6th Edition):

Zhang, Xinyan, 1. (2010). Regression analysis of clustered interval-censored failure time data with informative cluster size. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/9004

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Xinyan, 1976-. “Regression analysis of clustered interval-censored failure time data with informative cluster size.” 2010. Thesis, University of Missouri – Columbia. Accessed August 03, 2020. https://doi.org/10.32469/10355/9004.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Xinyan, 1976-. “Regression analysis of clustered interval-censored failure time data with informative cluster size.” 2010. Web. 03 Aug 2020.

Vancouver:

Zhang, Xinyan 1. Regression analysis of clustered interval-censored failure time data with informative cluster size. [Internet] [Thesis]. University of Missouri – Columbia; 2010. [cited 2020 Aug 03]. Available from: https://doi.org/10.32469/10355/9004.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang, Xinyan 1. Regression analysis of clustered interval-censored failure time data with informative cluster size. [Thesis]. University of Missouri – Columbia; 2010. Available from: https://doi.org/10.32469/10355/9004

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

18. Liu, Hua. Unidimensional clustering using latent tree models.

Degree: 2015, Hong Kong University of Science and Technology

Cluster Analysis is an important research topic in machine learning and data mining. The objective is to partition data into meaningful clusters, where the number… (more)

Subjects/Keywords: Latent structure analysis ; Cluster analysis ; Computer algorithms

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APA (6th Edition):

Liu, H. (2015). Unidimensional clustering using latent tree models. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-78842 ; https://doi.org/10.14711/thesis-b1514536 ; http://repository.ust.hk/ir/bitstream/1783.1-78842/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, Hua. “Unidimensional clustering using latent tree models.” 2015. Thesis, Hong Kong University of Science and Technology. Accessed August 03, 2020. http://repository.ust.hk/ir/Record/1783.1-78842 ; https://doi.org/10.14711/thesis-b1514536 ; http://repository.ust.hk/ir/bitstream/1783.1-78842/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, Hua. “Unidimensional clustering using latent tree models.” 2015. Web. 03 Aug 2020.

Vancouver:

Liu H. Unidimensional clustering using latent tree models. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2015. [cited 2020 Aug 03]. Available from: http://repository.ust.hk/ir/Record/1783.1-78842 ; https://doi.org/10.14711/thesis-b1514536 ; http://repository.ust.hk/ir/bitstream/1783.1-78842/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu H. Unidimensional clustering using latent tree models. [Thesis]. Hong Kong University of Science and Technology; 2015. Available from: http://repository.ust.hk/ir/Record/1783.1-78842 ; https://doi.org/10.14711/thesis-b1514536 ; http://repository.ust.hk/ir/bitstream/1783.1-78842/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Melbourne

19. Lei, Yang. Cluster validation and discovery of multiple clusterings.

Degree: 2016, University of Melbourne

Cluster analysis is an important unsupervised learning process in data analysis. It aims to group data objects into clusters, so that the data objects in… (more)

Subjects/Keywords: cluster analysis; cluster validation; multiple clusterings; data mining; machine learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lei, Y. (2016). Cluster validation and discovery of multiple clusterings. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/121995

Chicago Manual of Style (16th Edition):

Lei, Yang. “Cluster validation and discovery of multiple clusterings.” 2016. Doctoral Dissertation, University of Melbourne. Accessed August 03, 2020. http://hdl.handle.net/11343/121995.

MLA Handbook (7th Edition):

Lei, Yang. “Cluster validation and discovery of multiple clusterings.” 2016. Web. 03 Aug 2020.

Vancouver:

Lei Y. Cluster validation and discovery of multiple clusterings. [Internet] [Doctoral dissertation]. University of Melbourne; 2016. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/11343/121995.

Council of Science Editors:

Lei Y. Cluster validation and discovery of multiple clusterings. [Doctoral Dissertation]. University of Melbourne; 2016. Available from: http://hdl.handle.net/11343/121995


University of the Western Cape

20. Mosavel, Haajierah. Petrophysical characterization of sandstone reservoirs through boreholes E-S3, E-S5 and F-AH4 using multivariate statistical techniques and seismic facies in the Central Bredasdorp Basin .

Degree: 2014, University of the Western Cape

 The thesis aims to determine the depositional environments, rock types and petrophysical characteristics of the reservoirs in Wells E-S3, E-S5 and F-AH4 of Area X… (more)

Subjects/Keywords: Porosity; Permeability; Multivariate analysis; Factor analysis; Discriminant analysis; Cluster analysis

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APA (6th Edition):

Mosavel, H. (2014). Petrophysical characterization of sandstone reservoirs through boreholes E-S3, E-S5 and F-AH4 using multivariate statistical techniques and seismic facies in the Central Bredasdorp Basin . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/3984

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mosavel, Haajierah. “Petrophysical characterization of sandstone reservoirs through boreholes E-S3, E-S5 and F-AH4 using multivariate statistical techniques and seismic facies in the Central Bredasdorp Basin .” 2014. Thesis, University of the Western Cape. Accessed August 03, 2020. http://hdl.handle.net/11394/3984.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mosavel, Haajierah. “Petrophysical characterization of sandstone reservoirs through boreholes E-S3, E-S5 and F-AH4 using multivariate statistical techniques and seismic facies in the Central Bredasdorp Basin .” 2014. Web. 03 Aug 2020.

Vancouver:

Mosavel H. Petrophysical characterization of sandstone reservoirs through boreholes E-S3, E-S5 and F-AH4 using multivariate statistical techniques and seismic facies in the Central Bredasdorp Basin . [Internet] [Thesis]. University of the Western Cape; 2014. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/11394/3984.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mosavel H. Petrophysical characterization of sandstone reservoirs through boreholes E-S3, E-S5 and F-AH4 using multivariate statistical techniques and seismic facies in the Central Bredasdorp Basin . [Thesis]. University of the Western Cape; 2014. Available from: http://hdl.handle.net/11394/3984

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


The Ohio State University

21. Milligan, Glenn Wesley. An examination of the effect of error perturbation of constructed data on fifteen clustering algorithms.

Degree: PhD, Graduate School, 1978, The Ohio State University

Subjects/Keywords: Psychology; Cluster analysis

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APA (6th Edition):

Milligan, G. W. (1978). An examination of the effect of error perturbation of constructed data on fifteen clustering algorithms. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1487081370609637

Chicago Manual of Style (16th Edition):

Milligan, Glenn Wesley. “An examination of the effect of error perturbation of constructed data on fifteen clustering algorithms.” 1978. Doctoral Dissertation, The Ohio State University. Accessed August 03, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487081370609637.

MLA Handbook (7th Edition):

Milligan, Glenn Wesley. “An examination of the effect of error perturbation of constructed data on fifteen clustering algorithms.” 1978. Web. 03 Aug 2020.

Vancouver:

Milligan GW. An examination of the effect of error perturbation of constructed data on fifteen clustering algorithms. [Internet] [Doctoral dissertation]. The Ohio State University; 1978. [cited 2020 Aug 03]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1487081370609637.

Council of Science Editors:

Milligan GW. An examination of the effect of error perturbation of constructed data on fifteen clustering algorithms. [Doctoral Dissertation]. The Ohio State University; 1978. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1487081370609637


University of Johannesburg

22. Von Hagen, Craig. Use of an area sampling frame to identify the spatial distribution of livestock in the Gauteng Province.

Degree: 2009, University of Johannesburg

M.Sc.

In South Africa, there are no reliable statistics regarding animal numbers and distribution. The goal, therefore, of this research is to provide the framework… (more)

Subjects/Keywords: Livestock; Cluster analysis; Gauteng (South Africa)

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APA (6th Edition):

Von Hagen, C. (2009). Use of an area sampling frame to identify the spatial distribution of livestock in the Gauteng Province. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/1979

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Von Hagen, Craig. “Use of an area sampling frame to identify the spatial distribution of livestock in the Gauteng Province.” 2009. Thesis, University of Johannesburg. Accessed August 03, 2020. http://hdl.handle.net/10210/1979.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Von Hagen, Craig. “Use of an area sampling frame to identify the spatial distribution of livestock in the Gauteng Province.” 2009. Web. 03 Aug 2020.

Vancouver:

Von Hagen C. Use of an area sampling frame to identify the spatial distribution of livestock in the Gauteng Province. [Internet] [Thesis]. University of Johannesburg; 2009. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/10210/1979.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Von Hagen C. Use of an area sampling frame to identify the spatial distribution of livestock in the Gauteng Province. [Thesis]. University of Johannesburg; 2009. Available from: http://hdl.handle.net/10210/1979

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universiteit Utrecht

23. Balkom, T.D. van. Assessing Heterogeneity in and the Relation Between the Neuropsychiatric and Cognitive Profile in Parkinson’s Disease: A Data-Driven Approach.

Degree: 2015, Universiteit Utrecht

 Parkinson’s disease (PD) is a disease with a high heterogeneity in symptoms. The objective of this study was to assess heterogeneity in neuropsychiatric and cognitive… (more)

Subjects/Keywords: Parkinson’s Disease; Cognition; Neuropsychiatry; Cluster Analysis; Profiling

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APA (6th Edition):

Balkom, T. D. v. (2015). Assessing Heterogeneity in and the Relation Between the Neuropsychiatric and Cognitive Profile in Parkinson’s Disease: A Data-Driven Approach. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/312010

Chicago Manual of Style (16th Edition):

Balkom, T D van. “Assessing Heterogeneity in and the Relation Between the Neuropsychiatric and Cognitive Profile in Parkinson’s Disease: A Data-Driven Approach.” 2015. Masters Thesis, Universiteit Utrecht. Accessed August 03, 2020. http://dspace.library.uu.nl:8080/handle/1874/312010.

MLA Handbook (7th Edition):

Balkom, T D van. “Assessing Heterogeneity in and the Relation Between the Neuropsychiatric and Cognitive Profile in Parkinson’s Disease: A Data-Driven Approach.” 2015. Web. 03 Aug 2020.

Vancouver:

Balkom TDv. Assessing Heterogeneity in and the Relation Between the Neuropsychiatric and Cognitive Profile in Parkinson’s Disease: A Data-Driven Approach. [Internet] [Masters thesis]. Universiteit Utrecht; 2015. [cited 2020 Aug 03]. Available from: http://dspace.library.uu.nl:8080/handle/1874/312010.

Council of Science Editors:

Balkom TDv. Assessing Heterogeneity in and the Relation Between the Neuropsychiatric and Cognitive Profile in Parkinson’s Disease: A Data-Driven Approach. [Masters Thesis]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/312010


Massey University

24. Liu, Tong. Improved K-means clustering algorithms : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Science, Massey University .

Degree: 2020, Massey University

 K-means clustering algorithm is designed to divide the samples into subsets with the goal that maximizes the intra-subset similarity and inter-subset dissimilarity where the similarity… (more)

Subjects/Keywords: Cluster analysis; Computer algorithms; Combinatorial optimization

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APA (6th Edition):

Liu, T. (2020). Improved K-means clustering algorithms : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Science, Massey University . (Thesis). Massey University. Retrieved from http://hdl.handle.net/10179/15384

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, Tong. “Improved K-means clustering algorithms : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Science, Massey University .” 2020. Thesis, Massey University. Accessed August 03, 2020. http://hdl.handle.net/10179/15384.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, Tong. “Improved K-means clustering algorithms : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Science, Massey University .” 2020. Web. 03 Aug 2020.

Vancouver:

Liu T. Improved K-means clustering algorithms : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Science, Massey University . [Internet] [Thesis]. Massey University; 2020. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/10179/15384.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu T. Improved K-means clustering algorithms : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Science, Massey University . [Thesis]. Massey University; 2020. Available from: http://hdl.handle.net/10179/15384

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade Nova

25. Martins, Ana Isabel Magalhães. Dynamics of innovation patterns: some insights for Portugal.

Degree: 2010, Universidade Nova

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Gestão de Informação

Innovation has increased its importance in the past few years… (more)

Subjects/Keywords: Innovation; Firms Innovation Patterns; Cluster Analysis

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APA (6th Edition):

Martins, A. I. M. (2010). Dynamics of innovation patterns: some insights for Portugal. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10680

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Martins, Ana Isabel Magalhães. “Dynamics of innovation patterns: some insights for Portugal.” 2010. Thesis, Universidade Nova. Accessed August 03, 2020. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10680.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Martins, Ana Isabel Magalhães. “Dynamics of innovation patterns: some insights for Portugal.” 2010. Web. 03 Aug 2020.

Vancouver:

Martins AIM. Dynamics of innovation patterns: some insights for Portugal. [Internet] [Thesis]. Universidade Nova; 2010. [cited 2020 Aug 03]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10680.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Martins AIM. Dynamics of innovation patterns: some insights for Portugal. [Thesis]. Universidade Nova; 2010. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/10680

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade Nova

26. Pisco, Sandra Cristina Pereira Margalha Galvão. Conhecimento sobre o mercado português: segmentação geodemográfica para definição de estratágias comerciais no mercado do consumo doméstico de electricidade.

Degree: 2018, Universidade Nova

 With the liberalization of the Energy Market in Portugal, which has been completed in 2012, several foreign companies decided to enter in Portugal and invest… (more)

Subjects/Keywords: Data Mining; Segmentation; Geodemography; Cluster Analysis; Census

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APA (6th Edition):

Pisco, S. C. P. M. G. (2018). Conhecimento sobre o mercado português: segmentação geodemográfica para definição de estratágias comerciais no mercado do consumo doméstico de electricidade. (Thesis). Universidade Nova. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/33279

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pisco, Sandra Cristina Pereira Margalha Galvão. “Conhecimento sobre o mercado português: segmentação geodemográfica para definição de estratágias comerciais no mercado do consumo doméstico de electricidade.” 2018. Thesis, Universidade Nova. Accessed August 03, 2020. https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/33279.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pisco, Sandra Cristina Pereira Margalha Galvão. “Conhecimento sobre o mercado português: segmentação geodemográfica para definição de estratágias comerciais no mercado do consumo doméstico de electricidade.” 2018. Web. 03 Aug 2020.

Vancouver:

Pisco SCPMG. Conhecimento sobre o mercado português: segmentação geodemográfica para definição de estratágias comerciais no mercado do consumo doméstico de electricidade. [Internet] [Thesis]. Universidade Nova; 2018. [cited 2020 Aug 03]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/33279.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pisco SCPMG. Conhecimento sobre o mercado português: segmentação geodemográfica para definição de estratágias comerciais no mercado do consumo doméstico de electricidade. [Thesis]. Universidade Nova; 2018. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/33279

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Miami

27. Kerr, Stacey. Public Education in an Era of Privatization: A Spatial Examination of the Relationship Between Charter School Clusters and Gentrification in Washington, D.C. and Brooklyn, NY.

Degree: MA, Geography (Arts and Sciences), 2012, University of Miami

 Over the past decade, American public education has undergone a major transformation. Today, corporations, philanthropists, and the federal government promote and fund the charter school… (more)

Subjects/Keywords: charter schools; public education; gentrification; cluster analysis

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APA (6th Edition):

Kerr, S. (2012). Public Education in an Era of Privatization: A Spatial Examination of the Relationship Between Charter School Clusters and Gentrification in Washington, D.C. and Brooklyn, NY. (Thesis). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_theses/320

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kerr, Stacey. “Public Education in an Era of Privatization: A Spatial Examination of the Relationship Between Charter School Clusters and Gentrification in Washington, D.C. and Brooklyn, NY.” 2012. Thesis, University of Miami. Accessed August 03, 2020. https://scholarlyrepository.miami.edu/oa_theses/320.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kerr, Stacey. “Public Education in an Era of Privatization: A Spatial Examination of the Relationship Between Charter School Clusters and Gentrification in Washington, D.C. and Brooklyn, NY.” 2012. Web. 03 Aug 2020.

Vancouver:

Kerr S. Public Education in an Era of Privatization: A Spatial Examination of the Relationship Between Charter School Clusters and Gentrification in Washington, D.C. and Brooklyn, NY. [Internet] [Thesis]. University of Miami; 2012. [cited 2020 Aug 03]. Available from: https://scholarlyrepository.miami.edu/oa_theses/320.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kerr S. Public Education in an Era of Privatization: A Spatial Examination of the Relationship Between Charter School Clusters and Gentrification in Washington, D.C. and Brooklyn, NY. [Thesis]. University of Miami; 2012. Available from: https://scholarlyrepository.miami.edu/oa_theses/320

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

28. Majeed, Salar Mustafa. Cluster detection and analysis with geo-spatial datasets using a hybrid statistical and neural networks hierarchical approach.

Degree: PhD, 2010, University of South Wales

 Spatial datasets contain information relating to the locations of incidents of phenomena for example, crime and disease. Areas that contain a higher than expected incidence… (more)

Subjects/Keywords: 519; Cluster analysis

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APA (6th Edition):

Majeed, S. M. (2010). Cluster detection and analysis with geo-spatial datasets using a hybrid statistical and neural networks hierarchical approach. (Doctoral Dissertation). University of South Wales. Retrieved from https://pure.southwales.ac.uk/en/studentthesis/cluster-detection-and-analysis-with-geospatial-datasets-using-a-hybrid-statistical-and-neural-networks-hierarchical-approach(c57662b9-b685-4cfb-bd04-33e6e1655758).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.512217

Chicago Manual of Style (16th Edition):

Majeed, Salar Mustafa. “Cluster detection and analysis with geo-spatial datasets using a hybrid statistical and neural networks hierarchical approach.” 2010. Doctoral Dissertation, University of South Wales. Accessed August 03, 2020. https://pure.southwales.ac.uk/en/studentthesis/cluster-detection-and-analysis-with-geospatial-datasets-using-a-hybrid-statistical-and-neural-networks-hierarchical-approach(c57662b9-b685-4cfb-bd04-33e6e1655758).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.512217.

MLA Handbook (7th Edition):

Majeed, Salar Mustafa. “Cluster detection and analysis with geo-spatial datasets using a hybrid statistical and neural networks hierarchical approach.” 2010. Web. 03 Aug 2020.

Vancouver:

Majeed SM. Cluster detection and analysis with geo-spatial datasets using a hybrid statistical and neural networks hierarchical approach. [Internet] [Doctoral dissertation]. University of South Wales; 2010. [cited 2020 Aug 03]. Available from: https://pure.southwales.ac.uk/en/studentthesis/cluster-detection-and-analysis-with-geospatial-datasets-using-a-hybrid-statistical-and-neural-networks-hierarchical-approach(c57662b9-b685-4cfb-bd04-33e6e1655758).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.512217.

Council of Science Editors:

Majeed SM. Cluster detection and analysis with geo-spatial datasets using a hybrid statistical and neural networks hierarchical approach. [Doctoral Dissertation]. University of South Wales; 2010. Available from: https://pure.southwales.ac.uk/en/studentthesis/cluster-detection-and-analysis-with-geospatial-datasets-using-a-hybrid-statistical-and-neural-networks-hierarchical-approach(c57662b9-b685-4cfb-bd04-33e6e1655758).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.512217

29. Jarvis, Paul S. Determining geographical causal relationships through the development of spatial cluster detection and feature selection techniques.

Degree: PhD, 2006, University of South Wales

 Spatial datasets contain information relating to the locations of incidents of a disease or other phenomena. Appropriate analysis of such datasets can reveal information about… (more)

Subjects/Keywords: 910.2856333; Cluster analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jarvis, P. S. (2006). Determining geographical causal relationships through the development of spatial cluster detection and feature selection techniques. (Doctoral Dissertation). University of South Wales. Retrieved from https://pure.southwales.ac.uk/en/studentthesis/determining-geographical-casual-relationships-through-the-development-of-spatial-cluster-detection-and-feature-selection-techniques(7a882804-5565-44d7-8635-e59c66e2e9bc).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.429473

Chicago Manual of Style (16th Edition):

Jarvis, Paul S. “Determining geographical causal relationships through the development of spatial cluster detection and feature selection techniques.” 2006. Doctoral Dissertation, University of South Wales. Accessed August 03, 2020. https://pure.southwales.ac.uk/en/studentthesis/determining-geographical-casual-relationships-through-the-development-of-spatial-cluster-detection-and-feature-selection-techniques(7a882804-5565-44d7-8635-e59c66e2e9bc).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.429473.

MLA Handbook (7th Edition):

Jarvis, Paul S. “Determining geographical causal relationships through the development of spatial cluster detection and feature selection techniques.” 2006. Web. 03 Aug 2020.

Vancouver:

Jarvis PS. Determining geographical causal relationships through the development of spatial cluster detection and feature selection techniques. [Internet] [Doctoral dissertation]. University of South Wales; 2006. [cited 2020 Aug 03]. Available from: https://pure.southwales.ac.uk/en/studentthesis/determining-geographical-casual-relationships-through-the-development-of-spatial-cluster-detection-and-feature-selection-techniques(7a882804-5565-44d7-8635-e59c66e2e9bc).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.429473.

Council of Science Editors:

Jarvis PS. Determining geographical causal relationships through the development of spatial cluster detection and feature selection techniques. [Doctoral Dissertation]. University of South Wales; 2006. Available from: https://pure.southwales.ac.uk/en/studentthesis/determining-geographical-casual-relationships-through-the-development-of-spatial-cluster-detection-and-feature-selection-techniques(7a882804-5565-44d7-8635-e59c66e2e9bc).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.429473


University of Texas – Austin

30. Wang, Keqing. A study of instrumental method for suiting fabric hand evaluation and classification.

Degree: MSin Textile and Apparel Technology, Textile and Apparel Technology, 2014, University of Texas – Austin

 In the textile and apparel industry, fabric end-use preference and selection criteria are largely based on fabric hand because it relates to both the mechanical… (more)

Subjects/Keywords: Fabric hand; Kawabata; Neural network; Cluster analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, K. (2014). A study of instrumental method for suiting fabric hand evaluation and classification. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/41242

Chicago Manual of Style (16th Edition):

Wang, Keqing. “A study of instrumental method for suiting fabric hand evaluation and classification.” 2014. Masters Thesis, University of Texas – Austin. Accessed August 03, 2020. http://hdl.handle.net/2152/41242.

MLA Handbook (7th Edition):

Wang, Keqing. “A study of instrumental method for suiting fabric hand evaluation and classification.” 2014. Web. 03 Aug 2020.

Vancouver:

Wang K. A study of instrumental method for suiting fabric hand evaluation and classification. [Internet] [Masters thesis]. University of Texas – Austin; 2014. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/2152/41242.

Council of Science Editors:

Wang K. A study of instrumental method for suiting fabric hand evaluation and classification. [Masters Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/41242

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