A new approach for measuring the validity of the fuzzy c-means algorithm

Tsekouras, GE; Sarimveis, H

dc.contributor.author	Tsekouras, GE	en
dc.contributor.author	Sarimveis, H	en
dc.date.accessioned	2014-03-01T01:19:46Z
dc.date.available	2014-03-01T01:19:46Z
dc.date.issued	2004	en
dc.identifier.issn	0965-9978	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15704
dc.subject	Cluster validity	en
dc.subject	Compactness	en
dc.subject	Fuzzy c-partitions	en
dc.subject	Fuzzy clustering	en
dc.subject	Fuzzy separation	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Computer Science, Software Engineering	en
dc.subject.other	Algorithms	en
dc.subject.other	Computational complexity	en
dc.subject.other	Data acquisition	en
dc.subject.other	Indexing (of information)	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Product design	en
dc.subject.other	Set theory	en
dc.subject.other	Cluster validity	en
dc.subject.other	Compactness	en
dc.subject.other	Fuzzy c-partitions	en
dc.subject.other	Fuzzy clustering	en
dc.subject.other	Fuzzy separation	en
dc.subject.other	Fuzzy sets	en
dc.title	A new approach for measuring the validity of the fuzzy c-means algorithm	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.advengsoft.2004.05.001	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.advengsoft.2004.05.001	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	In this paper an index to validate the fuzzy c-means algorithm is developed. The proposed index adopts a compactness measure to describe the variation of clusters, and introduces the fuzzy separation concept to determine the isolation of clusters. The basic design element of fuzzy separation is the fuzzy deviation between two cluster centers, which is calculated by taking into account the locations of the rest of the centers. Limiting analysis indicates the sensitivity of the index with respect to the design parameters, while the application to two data sets illustrates the effectiveness of the index in detecting the correct fuzzy c-partitions. (C) 2004 Elsevier Ltd. All rights reserved.	en
heal.publisher	ELSEVIER SCI LTD	en
heal.journalName	Advances in Engineering Software	en
dc.identifier.doi	10.1016/j.advengsoft.2004.05.001	en
dc.identifier.isi	ISI:000223576300010	en
dc.identifier.volume	35	en
dc.identifier.issue	8-9	en
dc.identifier.spage	567	en
dc.identifier.epage	575	en