DIVERSITY-BASED ATTRIBUTE WEIGHTING FOR K-MODES CLUSTERING

DIVERSITY-BASED ATTRIBUTE WEIGHTING FOR K-MODES CLUSTERING

Abstract Categorical data is a kind of data that is used for computational in computer science. To obtain the information from categorical data input, it needs a clustering algorithm. There are so many clustering algorithms that are given by the researchers. One of the clustering algorithms for c...

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Bibliographic Details
Main Authors:	Muhammad Misbachul Huda, Dian Rahma Hayun, Annisaa Sri Indarwanti
Format:	Article
Language:	English
Published:	Universitas Indonesia 2014-08-01
Series:	Jurnal Ilmu Komputer dan Informasi
Online Access:	http://jiki.cs.ui.ac.id/index.php/jiki/article/view/258

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