(STOC 2005) propose a similar pivot-like algorithm. (for correlation clustering) that for the case of similarity satisfying triangle inequality gives an ...
Correlation clustering is arguably the most natural formulation of clustering. Given a set of objects and a pairwise similarity measure between them, the goal ...
PDF | Correlation clustering is arguably the most natural formulation of clustering. Given a set of objects and a pairwise similarity measure between.
Aug 24, 2014 · ABSTRACT. Correlation clustering is arguably the most natural formu- lation of clustering. Given a set of objects and a pairwise.
The correlation clustering (CC) problem is arguably the most natural formulation of identifying clusters in a complex system with information about mutual ...
That is, we want a clustering that maximizes the number of + edges within clusters, plus the number of edges between clus- ters (equivalently, minimizes the ...
Oct 27, 2003 · This formulation is motivated from a document clustering problem in which one has a pairwise similarity function f learned from past data, and ...
May 3, 2023 · Correlation. Clustering has been used to model a large number of clustering problems in practice, making ... Theory of Computing (STOC), pages 283 ...
Abstract. We present new results for LambdaCC and MotifCC, two recently introduced variants of the well- studied correlation clustering problem.
Oct 22, 2006 · This justifies the approach taken by the algorithm to find a near-optimal clustering by focusing on the small clusters among (C1,C2,...,Ck) ...
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