A multi-clustering fusion scheme for data partitioning

Frossyniotis, DS; Pateritsas, C; Stafylopatis, A

dc.contributor.author	Frossyniotis, DS	en
dc.contributor.author	Pateritsas, C	en
dc.contributor.author	Stafylopatis, A	en
dc.date.accessioned	2014-03-01T01:21:44Z
dc.date.available	2014-03-01T01:21:44Z
dc.date.issued	2005	en
dc.identifier.issn	0129-0657	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/16349
dc.subject	Ensemble clustering	en
dc.subject	Partitions schemes	en
dc.subject	Unsupervised learning	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.other	algorithm	en
dc.subject.other	article	en
dc.subject.other	artificial intelligence	en
dc.subject.other	data base	en
dc.subject.other	Algorithms	en
dc.subject.other	Artificial Intelligence	en
dc.subject.other	Database Management Systems	en
dc.title	A multi-clustering fusion scheme for data partitioning	en
heal.type	journalArticle	en
heal.identifier.primary	10.1142/S0129065705000360	en
heal.identifier.secondary	http://dx.doi.org/10.1142/S0129065705000360	en
heal.language	English	en
heal.publicationDate	2005	en
heal.abstract	A multi-clustering fusion method is presented based on combining several runs of a, clustering algorithm resulting in a common partition. More specifically, the results of several independent runs of the same clustering algorithm are appropriately combined to obtain a distinct partition of the data which is not affected by initialization and overcomes the instabilities of clustering methods. Subsequently, a fusion procedure is applied to the clusters generated during the previous phase to determine the optimal number of clusters in the data set according to some predefined criteria. © World Scientific Publishing Company.	en
heal.publisher	WORLD SCIENTIFIC PUBL CO PTE LTD	en
heal.journalName	International Journal of Neural Systems	en
dc.identifier.doi	10.1142/S0129065705000360	en
dc.identifier.isi	ISI:000233460300007	en
dc.identifier.volume	15	en
dc.identifier.issue	5	en
dc.identifier.spage	391	en
dc.identifier.epage	401	en