Clustering Stable Instances of Euclidean k-means

4 Dec 2017Abhratanu DuttaAravindan VijayaraghavanAlex Wang

The Euclidean k-means problem is arguably the most widely-studied clustering problem in machine learning. While the k-means objective is NP-hard in the worst-case, practitioners have enjoyed remarkable success in applying heuristics like Lloyd's algorithm for this problem... (read more)

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