Robust auto-weighted multi-view subspace clustering with common subspace representation matrix.

Robust auto-weighted multi-view subspace clustering with common subspace representation matrix.

In many computer vision and machine learning applications, the data sets distribute on certain low-dimensional subspaces. Subspace clustering is a powerful technology to find the underlying subspaces and cluster data points correctly. However, traditional subspace clustering methods can only be appl...

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Bibliographic Details
Main Authors: Wenzhang Zhuge, Chenping Hou, Yuanyuan Jiao, Jia Yue, Hong Tao, Dongyun Yi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5441581?pdf=render

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http://europepmc.org/articles/PMC5441581?pdf=render

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