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Comparing of Clustering Algorithms
Jakšík, Aleš ; Rozman, Jaroslav (referee) ; Zbořil, František (advisor)
This bachelor thesis deals with the comparison of K-means, K-medoids and Fuzzy C-means algorithms. In the first part, it discusses the types of distance measurements, clustering evaluation options and categorization of clustering methods. In the second part, it presents a web application for comparing the selected methods and in the third part it discusses the comparison and evaluation of the results and statistics from running the clustering algorithms in the demonstration application.
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Clustering of Protein Sequences Based on Primary Structure of Proteins
Jurásek, Petr ; Stryka, Lukáš (referee) ; Burgetová, Ivana (advisor)
This master's thesis consider clustering of protein sequences based on primary structure of proteins. Studies the protein sequences from they primary structure. Describes methods for similarities in the amino acid sequences of proteins, cluster analysis and clustering algorithms. This thesis presents concept of distance function based on similarity of protein sequences and implements clustering algorithms ANGES, k-means, k-medoids in Python programming language.
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Evaluation of the Cluster Analysis Quality
Schmid, Michael ; Zendulka, Jaroslav (referee) ; Burgetová, Ivana (advisor)
This bachelor's thesis concerns cluster analysis and possible ways to evaluate the quality of its results. The thesis contains theoretical introduction to cluster analysis and metrics used for evaluation of quality of its results. The thesis also documents development of an application capable of evaluating quality of results of cluster analysis using mentioned metrics. Important part of the thesis describes experiments conducted with implemented application, including design of the experiments and analysis of behavior of clustering algorithms and metrics when they are used in combination with various datasets.
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Evaluation of the Cluster Analysis Quality
Schmid, Michael ; Zendulka, Jaroslav (referee) ; Burgetová, Ivana (advisor)
This bachelor's thesis concerns cluster analysis and possible ways to evaluate the quality of its results. The thesis contains theoretical introduction to cluster analysis and metrics used for evaluation of quality of its results. The thesis also documents development of an application capable of evaluating quality of results of cluster analysis using mentioned metrics. Important part of the thesis describes experiments conducted with implemented application, including design of the experiments and analysis of behavior of clustering algorithms and metrics when they are used in combination with various datasets.
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Cluster Analysis Tool
Hezoučký, Ladislav ; Bartík, Vladimír (referee) ; Burgetová, Ivana (advisor)
The master' s thesis deals with cluster data analysis. There are explained basic concepts and methods from this domain. Result of the thesis is Cluster analysis tool, in which are implemented methods K-Medoids and DBSCAN. Adjusted results on real data are compared with programs Rapid Miner and SAS Enterprise Miner.
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Clustering of Protein Sequences Based on Primary Structure of Proteins
Jurásek, Petr ; Stryka, Lukáš (referee) ; Burgetová, Ivana (advisor)
This master's thesis consider clustering of protein sequences based on primary structure of proteins. Studies the protein sequences from they primary structure. Describes methods for similarities in the amino acid sequences of proteins, cluster analysis and clustering algorithms. This thesis presents concept of distance function based on similarity of protein sequences and implements clustering algorithms ANGES, k-means, k-medoids in Python programming language.
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