doi: 10.7763/IJCTE.2010.V2.181
Extended K-Modes with Probability Measure
Aranganayagi S.1,*
,
Thangavel K.
- 1J. 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.
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.
Keywords
- Clustering
- Categorical Data
- K-Modes
- Probability
- Weighted measure
How to 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. https://doi.org/10.7763/IJCTE.2010.V2.181
Copyright & License
Copyright © 2010 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).