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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2010 Vol.2(3): 431-435 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2010.V2.181

Extended K-Modes with Probability Measure

Aranganayagi S. and Thangavel K.

Abstract—Clustering Categorical data is more complicated process than numerical clustering. In this paper the traditional K-Modes algorithm is extended with the weighted measure based on the probability of respective matching attribute value in the data set. The proposed method is experimented with the data sets obtained from UCI data repository. Results prove that the proposed weighted measure is superior to K-Modes.

Index Terms—Clustering, Categorical Data, K-Modes, Probability, Weighted measure

Aranganayagi S. is with the J. K. K. Nataraja College of Arts & Science, Komarapalayam, Tamilnadu, India and doing research in the Department of Computer Science and Applications, Gandhigram Rural University, Gandhigram Tamilnadu India. Member of IAENG, IACSIT: Corresponding author, phone: 0424-2230855, 9842723085; e-mail: arangbas@gmail.com.
Dr. K. Thangavel is with the Periyar University, Salem, Tamilnadu, Indiaas Professor in Computer Science. (drktvelu@yahoo.com).


Cite: Aranganayagi S. and Thangavel K., "Extended K-Modes with Probability Measure," International Journal of Computer Theory and Engineering vol. 2, no. 3, pp. 431-435, 2010.

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