Return to search

Hodnocení úspěšnosti metod a koeficientů využívaných ve shlukové analýze / Evaluation of the Success of Coefficients and Methods Used in Cluster Analysis

The diploma thesis explores with the evaluation of the success of selected indices for determining the number of clusters used in cluster analysis. The aim of this thesis is on the basis of various combinations of clustering methods and distances verify whether, alternatively using which clustering methods and distances is it possible to rely on the results of indices for determining the number of clusters. The results of success rate presented in the third chapter suggest that not all of indices for determining the number of clusters can be used universally. The most successful index is Dunn index, which was able to determine the correct number of clusters in 37 % of cases, respectively Davies-Bouldin index with the share of 70 % when including deviation of one cluster. The success rate is affected by both used method and selected distance.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:193440
Date January 2014
CreatorsHammerbauer, Jiří
ContributorsLöster, Tomáš, Makhalova, Elena
PublisherVysoká škola ekonomická v Praze
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

Page generated in 0.0019 seconds