Complexity and Approximation of the Fuzzy K-Means Problem

18 Dec 2015Johannes BlömerSascha BrauerKathrin Bujna

The fuzzy $K$-means problem is a generalization of the classical $K$-means problem to soft clusterings, i.e. clusterings where each points belongs to each cluster to some degree. Although popular in practice, prior to this work the fuzzy $K$-means problem has not been studied from a complexity theoretic or algorithmic perspective... (read more)

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