Fast Approximate $K$-Means via Cluster Closures

11 Dec 2013Jingdong WangJing WangQifa KeGang ZengShipeng Li

$K$-means, a simple and effective clustering algorithm, is one of the most widely used algorithms in multimedia and computer vision community. Traditional $k$-means is an iterative algorithm---in each iteration new cluster centers are computed and each data point is re-assigned to its nearest center... (read more)

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