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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| 格式: | Journal article |
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Elsevier
2018
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