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
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/" }