Thesis Details

Analýza vlastností shlukovacích algoritmů

Master's Thesis Student: Lipták Šimon Academic Year: 2018/2019 Supervisor: Burgetová Ivana, Ing., Ph.D.
English title
Analysis of Clustering Methods
Language
Czech
Abstract

The aim of this master's thesis was to get acquainted with cluster analysis, clustering methods and their theoretical properties. It was necessary select clustering algorithms whose properties will be analyzed, find and select data sets on which these algorithms will be triggered. Also, the goal was to design and implement an application that will evaluate and display clustering results in an appropriate manner. The last step was to analyze the results and compare them with theoretical assumptions.

Keywords

cluster, cluster analysis, clustering methods, requirements for cluster analysis, evaluation of clustering, application for data clustering

Department
Degree Programme
Information Technology, Field of Study Intelligent Systems
Files
Status
defended, grade C
Date
18 June 2019
Reviewer
Committee
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), předseda
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Grézl František, Ing., Ph.D. (DCGM FIT BUT), člen
Janoušek Jan, doc. Ing., Ph.D. (FIT CTU), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Citation
LIPTÁK, Šimon. Analýza vlastností shlukovacích algoritmů. Brno, 2019. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-18. Supervised by Burgetová Ivana. Available from: https://www.fit.vut.cz/study/thesis/19655/
BibTeX
@mastersthesis{FITMT19655,
    author = "\v{S}imon Lipt\'{a}k",
    type = "Master's thesis",
    title = "Anal\'{y}za vlastnost\'{i} shlukovac\'{i}ch algoritm\r{u}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/19655/"
}
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