About: Comparison of some Approaches to Clustering Categorical Data

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Hierarchická shlukovací analýza, algoritmus k-means, algoritmus CLARA, dvoukroková shlukovací analýza, samoorganizační mapa, GCS a genetické algoritmy byly aplikovány na známou datovou množinu Mushrooms. Získané výsledky jsou srovnány s publikovanými výsledky získanými pomocí algoritmu ROCK, k-modes a k-histograms. (cs) The mushrooms dataset from the UCI web page was analyzed by different techniques for clustering. Hierarchical cluster analysis with several linkage methods, k-means algorithm, the CLARA algorithm, two-step cluster analysis, self-organizing map, growing cell structure and genetic algorithms were applied to this dataset. The objects were clustered to different numbers of clusters. The obtained results are compared with published results obtained by ROCK, k-modes and k-histograms algorithms. The mushrooms dataset from the UCI web page was analyzed by different techniques for clustering. Hierarchical cluster analysis with several linkage methods, k-means algorithm, the CLARA algorithm, two-step cluster analysis, self-organizing map, growing cell structure and genetic algorithms were applied to this dataset. The objects were clustered to different numbers of clusters. The obtained results are compared with published results obtained by ROCK, k-modes and k-histograms algorithms. (en)
Title	Comparison of some Approaches to Clustering Categorical Data Comparison of some Approaches to Clustering Categorical Data (en) Srovnání několika přístupů ke shlukování kategoriálních dat (cs)
skos:prefLabel	Comparison of some Approaches to Clustering Categorical Data Comparison of some Approaches to Clustering Categorical Data (en) Srovnání několika přístupů ke shlukování kategoriálních dat (cs)
skos:notation	RIV/67985807:_____/06:00041635!RIV07-AV0-67985807
http://linked.open.../vavai/riv/strany	607;613
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(1ET100300414), P(GA201/05/0079), Z(AV0Z10300504)
http://linked.open...vai/riv/dodaniDat	2007
http://linked.open...aciTvurceVysledku	Húsek, Dušan Vidnerová, Petra
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav informatiky AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	469313
http://linked.open...ai/riv/idVysledku	RIV/67985807:_____/06:00041635
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	cluster analysis; categorical data; neural networks (en)
http://linked.open.../riv/klicoveSlovo	cluster analysis neural networks categorical data
http://linked.open...ontrolniKodProRIV	[4F4A68D8A274]
http://linked.open...v/mistoKonaniAkce	Rome
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...i/riv/nazevZdroje	Proceedings in Computational Statistics
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Intelligent methods for incresing of reliability of electrical networks Formal concept analysis of indeterminate and large data: theory, methods, and applications
http://linked.open...UplatneniVysledku	2006
http://linked.open...iv/tvurceVysledku	Húsek, Dušan Snášel, V. Řezanková, H. Kudová, Petra
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2006-08-28 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Informatika pro informační společnost: modely, algoritmy, aplikace
number of pages	7 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	3-7908-1708-2
is http://linked.open...avai/riv/vysledek of	Comparison of some Approaches to Clustering Categorical Data Comparison of some Approaches to Clustering Categorical Data

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