About: Fuzzy Clustering Using Hybrid Fuzzy c-means and Fuzzy Particle Swarm Optimization

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About: Fuzzy Clustering Using Hybrid Fuzzy c-means and Fuzzy Particle Swarm Optimization Goto Sponge NotDistinct Permalink

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	Fuzzy clustering is an important problem which is the subject of active research in several real world applications. Fuzzy c-means (FCM) algorithm is one of the most popular fuzzy clustering techniques because it is efficient, straightforward, and easy to implement. However FCM is sensitive to initialization and is easily trapped in local optima. Particle swarm optimization (PSO) is a stochastic global optimization tool which is used in many optimization problems. In this paper a hybrid fuzzy clustering method based on FCM and fuzzy PSO (FPSO) is proposed which make use of the merits of both algorithms. Experimental results show that our proposed method is efficient and can reveal encouraging results. Fuzzy clustering is an important problem which is the subject of active research in several real world applications. Fuzzy c-means (FCM) algorithm is one of the most popular fuzzy clustering techniques because it is efficient, straightforward, and easy to implement. However FCM is sensitive to initialization and is easily trapped in local optima. Particle swarm optimization (PSO) is a stochastic global optimization tool which is used in many optimization problems. In this paper a hybrid fuzzy clustering method based on FCM and fuzzy PSO (FPSO) is proposed which make use of the merits of both algorithms. Experimental results show that our proposed method is efficient and can reveal encouraging results. (en)
Title	Fuzzy Clustering Using Hybrid Fuzzy c-means and Fuzzy Particle Swarm Optimization Fuzzy Clustering Using Hybrid Fuzzy c-means and Fuzzy Particle Swarm Optimization (en)
skos:prefLabel	Fuzzy Clustering Using Hybrid Fuzzy c-means and Fuzzy Particle Swarm Optimization Fuzzy Clustering Using Hybrid Fuzzy c-means and Fuzzy Particle Swarm Optimization (en)
skos:notation	RIV/61989100:27240/09:86077772!RIV11-MSM-27240___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM6198910027)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Snášel, Václav Abraham Padath, Ajith
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	315853
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/09:86077772
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Optimization; Swarm; Particle; Fuzzy; and; c-means; Fuzzy; Hybrid; Using; Clustering; Fuzzy (en)
http://linked.open.../riv/klicoveSlovo	c-means Particle Clustering Optimization Fuzzy and Using Hybrid Swarm
http://linked.open...ontrolniKodProRIV	[9EA6143375A7]
http://linked.open...v/mistoKonaniAkce	Indie
http://linked.open...i/riv/mistoVydani	Los Alamitos, California
http://linked.open...i/riv/nazevZdroje	World Congress on Nature & Biologically Inspired Computing, 2009. NaBIC 2009
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2009
http://linked.open...iv/tvurceVysledku	Abraham Padath, Ajith Snášel, Václav Izakian, Hesam
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000288686500304
http://linked.open.../riv/zahajeniAkce	2009-12-09 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Výpočetně náročné počítačové simulace a optimalizace
number of pages	5 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE Computer Society
https://schema.org/isbn	978-1-4244-5053-4
http://localhost/t...ganizacniJednotka	27240

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