A multi-clustering fusion algorithm

Frossyniotis, D; Pertselakis, M; Stafylopatis, A

dc.contributor.author	Frossyniotis, D	en
dc.contributor.author	Pertselakis, M	en
dc.contributor.author	Stafylopatis, A	en
dc.date.accessioned	2014-03-01T01:17:22Z
dc.date.available	2014-03-01T01:17:22Z
dc.date.issued	2002	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14489
dc.subject	Cluster Algorithm	en
dc.subject	Clustering Method	en
dc.subject	Number of Clusters	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.title	A multi-clustering fusion algorithm	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/3-540-46014-4_21	en
heal.identifier.secondary	http://dx.doi.org/10.1007/3-540-46014-4_21	en
heal.language	English	en
heal.publicationDate	2002	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 partition of the data which is not affected by initialization and overcomes the instabilities of clustering methods. Finally, the fusion procedure starts with the clusters produced by the combining part and finds the optimal number of clusters in the data set according to some predefined criteria. The unsupervised multi-clustering method implemented in this work is quite general. There is ample room for the implementation and testing with any existing clustering algorithm that has unstable results. Experiments using both simulated and real data sets indicate that the multi-clustering fusion algorithm is able to partition a set of data points to the optimal number of clusters not constrained to be hyper-spherically 'shaped.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	METHODS AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE	en
heal.bookName	LECTURE NOTES IN ARTIFICIAL INTELLIGENCE	en
dc.identifier.doi	10.1007/3-540-46014-4_21	en
dc.identifier.isi	ISI:000181051700021	en
dc.identifier.volume	2308	en
dc.identifier.spage	225	en
dc.identifier.epage	236	en