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Matlab code for the IEEE TETCI 2023 paper "Joint Multi-view Unsupervised Feature Selection and Graph Learning".

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JMVFG: Joint Multi-view Unsupervised Feature Selection and Graph Learning

This is the source code for the JMVFG algorithm, which is proposed in the following paper:

Si-Guo Fang, Dong Huang, Chang-Dong Wang, Yong Tang.
Joint Multi-view Unsupervised Feature Selection and Graph Learning,
IEEE Transactions on Emerging Topics in Computational Intelligence, accepted, 2023.

Run "demo_1_multiview_clustering.m" to test the JMVFG algorithm for the multi-view clustering task, or "demo_2_feature_selection.m" for the multi-view unsupervised feature selection task.

Further Questions?

Don't hesitate to contact us if you have any questions regarding this work.
Email:
siguofang at hotmail dot com
huangdonghere at gmail dot com

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Matlab code for the IEEE TETCI 2023 paper "Joint Multi-view Unsupervised Feature Selection and Graph Learning".

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