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You searched for subject:(SLINK). Showing records 1 – 3 of 3 total matches.

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1. Amlinger, Anton. An Evaluation of Clustering and Classification Algorithms in Life-Logging Devices.

Degree: Faculty of Science & Engineering, 2015, Linköping UniversityLinköping University

Using life-logging devices and wearables is a growing trend in today’s society. These yield vast amounts of information, data that is not directly overseeable or graspable at a glance due to its size. Gathering a qualitative, comprehensible overview over this quantitative information is essential for life-logging services to serve its purpose. This thesis provides an overview comparison of CLARANS, DBSCAN and SLINK, representing different branches of clustering algorithm types, as tools for activity detection in geo-spatial data sets. These activities are then classified using a simple model with model parameters learned via Bayesian inference, as a demonstration of a different branch of clustering. Results are provided using Silhouettes as evaluation for geo-spatial clustering and a user study for the end classification. The results are promising as an outline for a framework of classification and activity detection, and shed lights on various pitfalls that might be encountered during implementation of such service.

Subjects/Keywords: Clustering; Classification; DBSCAN; CLARANS; SLINK; Life-Logging; Bayesian Inference

SLINK. . . . . . . . . 31 3.6 Run-time for clustering algorithms over users days, by number of… …between DBSCAN and CLARANS. 34 3.9 Cluster detection, comparison between DBSCAN and SLINK. 35… …3.10 Cluster detection, comparison between CLARANS and SLINK. 35 4.1 Scatterplot of… …SLINK [24]. viii . . 40 63 List of Tables 1.1 Silhouette Coefficient… …step. Examples of hierarchical clustering algorithms are: • SLINK was meant as an improvement… 

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

APA (6th Edition):

Amlinger, A. (2015). An Evaluation of Clustering and Classification Algorithms in Life-Logging Devices. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-121630

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):

Amlinger, Anton. “An Evaluation of Clustering and Classification Algorithms in Life-Logging Devices.” 2015. Thesis, Linköping UniversityLinköping University. Accessed December 05, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-121630.

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

MLA Handbook (7th Edition):

Amlinger, Anton. “An Evaluation of Clustering and Classification Algorithms in Life-Logging Devices.” 2015. Web. 05 Dec 2020.

Vancouver:

Amlinger A. An Evaluation of Clustering and Classification Algorithms in Life-Logging Devices. [Internet] [Thesis]. Linköping UniversityLinköping University; 2015. [cited 2020 Dec 05]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-121630.

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

Council of Science Editors:

Amlinger A. An Evaluation of Clustering and Classification Algorithms in Life-Logging Devices. [Thesis]. Linköping UniversityLinköping University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-121630

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


Brno University of Technology

2. Riša, Martin. Knihovna se shlukovacími metodami: Computer Library with Clustering Methods.

Degree: 2019, Brno University of Technology

The aim of this work is to create a library with chosen clustering methods, to compare their effectiveness and their properties by testing them on different input data sets. The aim of the testing is to determine efficiency of a method, to determine advantages and disadvantages of a method to cluster general input data or to cluster only data of specific shapes. Stages of development of the library are also documented in the text of this work. Advisors/Committee Members: Košík, Michal (advisor), Homoliak, Ivan (referee).

Subjects/Keywords: shlukovací metody; hierarchickí shlukování; shlukování založené na rozdělovaní; shlukování založené na hustotě; porovnání shlukovacích metod; testování shlukovacích metod; SLINK; filtrovací algoritmus metody k-means; DBSCAN; OPTICS; clustering methods; hierarchical clustering; partitioning clustering; density-based clustering; clustering methods comparision; clustering methods testing; SLINK; filter algorithm of k-means method; DBSCAN; OPTICS

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

APA (6th Edition):

Riša, M. (2019). Knihovna se shlukovacími metodami: Computer Library with Clustering Methods. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/56573

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):

Riša, Martin. “Knihovna se shlukovacími metodami: Computer Library with Clustering Methods.” 2019. Thesis, Brno University of Technology. Accessed December 05, 2020. http://hdl.handle.net/11012/56573.

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

MLA Handbook (7th Edition):

Riša, Martin. “Knihovna se shlukovacími metodami: Computer Library with Clustering Methods.” 2019. Web. 05 Dec 2020.

Vancouver:

Riša M. Knihovna se shlukovacími metodami: Computer Library with Clustering Methods. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/11012/56573.

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

Council of Science Editors:

Riša M. Knihovna se shlukovacími metodami: Computer Library with Clustering Methods. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/56573

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


Brno University of Technology

3. Dvořáček, Tomáš. Shluková analýza signálů EKG: Cluster Analysis of ECG Signals.

Degree: 2019, Brno University of Technology

This bachelor thesis is engaged in problematics of automatic cluster analysis for ECG sinals. This bachelor thesis contains theory of pathology in cardiac rhythm and problematics of cluster analysis. Based on a gained knowledge, set of symptoms is made, which are used for cluster analysis using MATLAB interface and which results are evaluated. Advisors/Committee Members: Kozumplík, Jiří (advisor), Chrobák, Martin (referee).

Subjects/Keywords: EKG; shluková analýza; QRS komplex; dendrogram; RR interval; metody shlukové analýzy; UPGMA; SLINK; CLINK; WARD; Euklidovská vzdálenost; Pearsonův korelační koeficient; vlny; MATLAB; plocha pod křivkou.; ECG; cluster analysis; QRS complex; dendrogram; RR interval; cluster analysis methods; UPGMA; SLINK; CLINK; WARD; Euklidean distance; Pearson´s correlation coefficient; waves; MATLAB; area under the curve .

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

APA (6th Edition):

Dvořáček, T. (2019). Shluková analýza signálů EKG: Cluster Analysis of ECG Signals. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/26415

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):

Dvořáček, Tomáš. “Shluková analýza signálů EKG: Cluster Analysis of ECG Signals.” 2019. Thesis, Brno University of Technology. Accessed December 05, 2020. http://hdl.handle.net/11012/26415.

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

MLA Handbook (7th Edition):

Dvořáček, Tomáš. “Shluková analýza signálů EKG: Cluster Analysis of ECG Signals.” 2019. Web. 05 Dec 2020.

Vancouver:

Dvořáček T. Shluková analýza signálů EKG: Cluster Analysis of ECG Signals. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/11012/26415.

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

Council of Science Editors:

Dvořáček T. Shluková analýza signálů EKG: Cluster Analysis of ECG Signals. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/26415

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

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