Overlapping Clusters in Genes – An Overview
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2013, Vol 2, Issue 7
Abstract
While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to nding overlapping clusters have come from work on analysis of biological datasets. In this paper, we inter-pret an overlapping clustering model proposed by Segal et al. [20] as a generalization of Gaussian mixture models, and we extend it to an overlapping clustering model based on mixtures of any regu-lar exponential family distribution and the corresponding Bregman divergence. We provide the necessary algorithm modi cations for this extension, and present results on synthetic data as well as sub-sets of 20-Newsgroups and EachMovie datasets.
Authors and Affiliations
Anuradha Bhatia, Shefali Patil, Gaurav Vaswani
Keywords
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