Thesis Details

Získávání znalostí z dat - shlukovací algoritmy

Bachelor's Thesis Student: Kapavík Radim Academic Year: 2007/2008 Supervisor: Bartík Vladimír, Ing., Ph.D.
English title
Knowledge Discovery from Data - Clustering Algorithms
Language
Czech
Abstract

This work deals with the theme of cluster analysis, focusing on problems of determining necessary parameters of these methods. Most of the work is dedicated to describing implementation of DENCLUE method based on density and proposing appropriate way to set up it´s key parameter, known as sigma, automatically.

Keywords

Cluster analysis, clustering, clusterging algorithms, DENCLUE

Department
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
9 June 2008
Reviewer
Committee
Hruška Tomáš, prof. Ing., CSc. (DIFS FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Machalová Jitka, Mgr., Ph.D. (Mendelu), člen
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), člen
Citation
KAPAVÍK, Radim. Získávání znalostí z dat - shlukovací algoritmy. Brno, 2008. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2008-06-09. Supervised by Bartík Vladimír. Available from: https://www.fit.vut.cz/study/thesis/7046/
BibTeX
@bachelorsthesis{FITBT7046,
    author = "Radim Kapav\'{i}k",
    type = "Bachelor's thesis",
    title = "Z\'{i}sk\'{a}v\'{a}n\'{i} znalost\'{i} z dat - shlukovac\'{i} algoritmy",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2008,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/7046/"
}
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