An efficient sequential clustering method

Trahanias, P; Skordalakis, E

dc.contributor.author	Trahanias, P	en
dc.contributor.author	Skordalakis, E	en
dc.date.accessioned	2014-03-01T01:07:22Z
dc.date.available	2014-03-01T01:07:22Z
dc.date.issued	1989	en
dc.identifier.issn	0031-3203	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/9961
dc.subject	Cluster analysis	en
dc.subject	Pattern Recognition	en
dc.subject	Sequential clustering	en
dc.subject	Uncertainty	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Computer Programming--Algorithms	en
dc.subject.other	Mathematical Techniques--Vectors	en
dc.subject.other	Certainty Factors	en
dc.subject.other	Cluster Analysis	en
dc.subject.other	Feature Vectors	en
dc.subject.other	Sequential Clustering Method	en
dc.subject.other	Pattern Recognition	en
dc.subject.other	cluster analysis	en
dc.subject.other	pattern recognition	en
dc.subject.other	sequential clustering	en
dc.title	An efficient sequential clustering method	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/0031-3203(89)90053-8	en
heal.identifier.secondary	http://dx.doi.org/10.1016/0031-3203(89)90053-8	en
heal.language	English	en
heal.publicationDate	1989	en
heal.abstract	A new method for the sequential clustering of data, that gives better results compared to the conventional sequential clustering method, is presented in this paper. This method utilizes certainty factors and it is independent of the technique used for data representation and/or distance computation. Examples are given for cases where the data are represented as feature vectors as well as strings of symbols (syntactic patterns). © 1989.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Pattern Recognition	en
dc.identifier.doi	10.1016/0031-3203(89)90053-8	en
dc.identifier.isi	ISI:A1989AJ39000011	en
dc.identifier.volume	22	en
dc.identifier.issue	4	en
dc.identifier.spage	449	en
dc.identifier.epage	453	en