Collaborative rough clustering

Authors:
Sushmita Mitra;Haider Banka;Witold Pedrycz
Affiliations:
Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India;Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India;Dept. of Electrical & Computer Engg, University of Alberta, Edmonton, Canada
Venue:
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Year:
2005

Citing 5
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Abstract

A novel collaborative clustering is proposed through the use of rough sets. The Davies-Bouldin clustering validity index is extended to the rough framework, to generate the optimal number of clusters during collaboration.