Multi-view Subspace Clustering Networks with Local and Global Graph Information (2020-10-19T00:00:00.000000Z)

TL;DR

This paper proposed the novel multi-view subspace clustering networks with local and global graph information, termed MSCNLG, which is an end-to-end trainable framework that fully investigates the valuable information of multiple views.

Authors

Qinghai Zheng

3 papers

Jihua Zhu

4 papers

Zhongyu Li

3 papers

Yuanyuan Ma

1 papers

Zhiqiang Tian

1 papers

TL;DR

Authors

References52 items

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The proposed method also gains remarkable progress over other deep-based algorithm, i.e., DMSCN, owing to the underlying local and global multi-view graph information are used in our method

Compared with MSCNLG 1-st

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