Fuzzy clustering of categorical data using fuzzy centroids
作者： Dae-Won Kim , Kwang H Lee , Doheon Lee
DOI: 10.1016/J.PATREC.2004.04.004
关键词:
摘要: In this paper the conventional fuzzy k-modes algorithm for clustering categorical data is extended by representing clusters of with centroids instead hard-type used in original algorithm. Use makes it possible to fully exploit power sets uncertainly classification data. To test proposed approach, and two algorithms (the algorithms) were cluster three sets. The method was found give markedly better results.
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