DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, DW | ko |
dc.contributor.author | Lee, K | ko |
dc.contributor.author | Lee, Doheon | ko |
dc.contributor.author | Lee, Kwang-Hyung | ko |
dc.date.accessioned | 2013-03-08T02:07:35Z | - |
dc.date.available | 2013-03-08T02:07:35Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2005-07 | - |
dc.identifier.citation | PATTERN RECOGNITION, v.38, pp.1131 - 1134 | - |
dc.identifier.issn | 0031-3203 | - |
dc.identifier.uri | http://hdl.handle.net/10203/91797 | - |
dc.description.abstract | In this paper, the conventional k-modes-type algorithms for clustering categorical data are extended by representing the clusters of categorical data with k-populations instead of the hard-type centroids used in the conventional algorithms. Use of a population-based centroid representation makes it possible to preserve the uncertainty inherent in data sets as long as possible before actual decisions are made. The k-populations algorithm was found to give markedly better clustering results through various experiments. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved. | - |
dc.language | English | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.title | A k-populations algorithm for clustering categorical data | - |
dc.type | Article | - |
dc.identifier.wosid | 000228700900018 | - |
dc.identifier.scopusid | 2-s2.0-17444410356 | - |
dc.type.rims | ART | - |
dc.citation.volume | 38 | - |
dc.citation.beginningpage | 1131 | - |
dc.citation.endingpage | 1134 | - |
dc.citation.publicationname | PATTERN RECOGNITION | - |
dc.identifier.doi | 10.1016/j.patcog.2004.11.017 | - |
dc.contributor.localauthor | Lee, Doheon | - |
dc.contributor.localauthor | Lee, Kwang-Hyung | - |
dc.contributor.nonIdAuthor | Kim, DW | - |
dc.contributor.nonIdAuthor | Lee, K | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | clustering | - |
dc.subject.keywordAuthor | categorical data | - |
dc.subject.keywordAuthor | hierarchical algorithm | - |
dc.subject.keywordAuthor | k-modes algorithm | - |
dc.subject.keywordAuthor | fuzzy k-modes algorithm | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.