About: Clustering Variables by Classical Approaches and Neural Network Boolean Factor Analysis

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In this paper, we compare three methods for grouping of binary variables: neural network Boolean factor analysis [3], hierarchical clustering, and a linear factor analysis on the mushroom dataset [9]. In contrast to the latter two traditional methods, the advantage of neural network Boolean factor analysis is its ability to reveal overlapping classes in the dataset. It is shown that the mushroom dataset provides a good demonstration of this advantage because it contains both disjunctive and overlapping classes. In this paper, we compare three methods for grouping of binary variables: neural network Boolean factor analysis [3], hierarchical clustering, and a linear factor analysis on the mushroom dataset [9]. In contrast to the latter two traditional methods, the advantage of neural network Boolean factor analysis is its ability to reveal overlapping classes in the dataset. It is shown that the mushroom dataset provides a good demonstration of this advantage because it contains both disjunctive and overlapping classes. (en)
Title	Clustering Variables by Classical Approaches and Neural Network Boolean Factor Analysis Clustering Variables by Classical Approaches and Neural Network Boolean Factor Analysis (en)
skos:prefLabel	Clustering Variables by Classical Approaches and Neural Network Boolean Factor Analysis Clustering Variables by Classical Approaches and Neural Network Boolean Factor Analysis (en)
skos:notation	RIV/61989100:27240/08:86075668!RIV11-AV0-27240___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(1ET100300414), P(1M0567), Z(AV0Z10300504)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Snášel, Václav
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	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	360193
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/08:86075668
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Analysis; Factor; Boolean; Network; Neural; and; Approaches; Classical; Variables; Clustering (en)
http://linked.open.../riv/klicoveSlovo	Neural Boolean Clustering Factor Analysis and Classical Network Approaches Variables
http://linked.open...ontrolniKodProRIV	[75045ABFA84C]
http://linked.open...v/mistoKonaniAkce	Čína
http://linked.open...i/riv/mistoVydani	NEW YORK
http://linked.open...i/riv/nazevZdroje	IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	Intelligent methods for incresing of reliability of electrical networks Centre for Applied Cybernetics
http://linked.open...UplatneniVysledku	2008
http://linked.open...iv/tvurceVysledku	Húsek, Dušan Snášel, Václav Řezánková, Hana Frolov, Alexander Polyakov, Pavel
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000263827202095
http://linked.open.../riv/zahajeniAkce	2008-06-01 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Informatika pro informační společnost: modely, algoritmy, aplikace
number of pages	5 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
https://schema.org/isbn	978-1-4244-1820-6
http://localhost/t...ganizacniJednotka	27240

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