Correlation clustering with local objectives

NeurIPS 2019 Sanchit KalhanKonstantin MakarychevTimothy Zhou

Correlation Clustering is a powerful graph partitioning model that aims to cluster items based on the notion of similarity between items. An instance of the Correlation Clustering problem consists of a graph G (not necessarily complete) whose edges are labeled by a binary classifier as similar and dissimilar... (read more)

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