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A clustering algorithm based on graph connectivity


Author(s) : Ron Shamir Erez Hartuv, 
Publisher : N/A
Publication Date : 2000
ISSN : N/A
Abstract : We have developed a novel algorithm for cluster analysis that is based on graph theoretic techniques. A similarity graph is defined and clusters in that graph correspond to highly connected subgraphs. A polynomial algorithm to compute them efficiently is presented. Our algorithm produces a solution with some provably good properties and performs well on simulated and real data.,