Structured sparse K -means clustering via Laplacian smoothing

Structured sparse K -means clustering via Laplacian smoothing

We propose a structured sparse K-means clustering algorithm that learns the cluster assignments and feature weights simultaneously. Compared to previous approaches, including K-means in MacQueen [28] and sparse K-means in Witten and Tibshirani [46], our method exploits the correlation information am...

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Bibliographic Details
Main Authors:	Gong, W, Zhao, R, Grünewald, S
Format:	Journal article
Published:	Elsevier 2018

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