Guaranteed clustering and biclustering via semidefinite programming

16 Feb 2012Brendan P. W. Ames

Identifying clusters of similar objects in data plays a significant role in a wide range of applications. As a model problem for clustering, we consider the densest k-disjoint-clique problem, whose goal is to identify the collection of k disjoint cliques of a given weighted complete graph maximizing the sum of the densities of the complete subgraphs induced by these cliques... (read more)

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