Summary
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Adaptive Clustering Technique Using Genetic Algorithms Nam Hyun PARK Chang Wook AHN Rudrapatna S. RAMAKRISHNA Publication IEICE TRANSACTIONS on Information and Systems Vol.E88-D No.12 pp.2880-2882 Publication Date: 2005/12/01 Online ISSN: DOI: 10.1093/ietisy/e88-d.12.2880 Print ISSN: 0916-8532 Type of Manuscript: LETTER Category: Data Mining Keyword: adaptive clustering, genetic algorithms, non-binary encoding, Full Text: PDF(265.6KB)>>
Summary: This paper proposes a genetically inspired adaptive clustering algorithm for numerical and categorical data sets. To this end, unique encoding method and fitness functions are developed. The algorithm automatically discovers the actual number of clusters and efficiently performs clustering without unduly compromising cluster-purity. Moreover, it outperforms existing clustering algorithms. | ||||||||||
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