Feature Selection Embedded Subspace Clustering

We propose a new subspace clustering method that integrates feature selection into subspace clustering. Rather than using all features to construct a low-rank representation of the data, we find such a representation using only relevant features, which helps in revealing more accurate data relations...

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Veröffentlicht in:	IEEE signal processing letters 2016-07, Vol.23 (7), p.1018-1022
Hauptverfasser:	Peng, Chong, Kang, Zhao, Yang, Ming, Cheng, Qiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Closed-form solutions Clustering algorithms Clustering methods Face Optimization Power capacitors Signal processing algorithms
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