Cluster Analysis on Different Data Sets Using K-Modes and K-Prototype Algorithms-Reference-Cited by-同舟云学术

Cluster Analysis on Different Data Sets Using K-Modes and K-Prototype Algorithms

Published:2014 Issue: Volume: Page:137-144
ISSN:2194-5357
Container-title:ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol II
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Author:

Madhuri R.,Murty M. Ramakrishna,Murthy J. V. R.,Reddy P. V. G. D. Prasad,Satapathy Suresh C.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-03095-1_15

Reference10 articles.

1. Haung, Z.: Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values. Canberra, ACT 2601, Australia (1998)

2. He, Z., Deng, S., Xu, X.: Improving K-Modes Algorithm Considering Frequencies of Attribute Values in Mode. Harbin Institute of Technology, China (2005)

3. Haung, Z.: A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining

4. Sayal, R., Vijay Kumar, V.: A Novel Similarity Measure for Clustering Categorical Data Sets. International Journal of Computer Applications (2011)

5. Witten, I., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques (2011)

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