Skip to content

Latest commit

 

History

History
14 lines (10 loc) · 592 Bytes

README.md

File metadata and controls

14 lines (10 loc) · 592 Bytes

SMCMB:Scalable Multi-view Clustering via Many Bipartite Graphs

This is a demo for the SMCMB (Scalable Multi-view Clustering via Many Bipartite Graphs) algorithm, which is presented in the following paper.

Jinghuan Lao, Dong Huang, Chang-Dong Wang, Jian-Huang Lai. Towards Scalable Multi-view Clustering via Joint Learning of Many Bipartite Graphs. IEEE Transactions on Big Data, accepted, 2023.

Run "demo_SMCMB.m" to test the algorithm.

Further Questions?

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