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Correlation Clustering with Partial Information
Lecture Notes in Computer Science, (2003): 1-13
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Abstract
We consider the following general correlation-clustering problem [1]: given a graph with real edge weights (both positive and negative), partition the vertices into clusters to minimize the total absolute weight of cut positive edges and uncut negative edges. Thus, large positive weights (representing strong correlations between endpoints...More
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