Multi-view clustering via joint feature selection and partially constrained cluster label learning-Reference-Cited by-同舟云学术

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Multi-view clustering via joint feature selection and partially constrained cluster label learning

Published:2019-09 Issue: Volume:93 Page:380-391
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Yin Qiyue,Zhang Junge,Wu Shu,Li Hexi

Funder

Natural Science Foundation of Guangdong Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference52 articles.

1. Incomplete multi-view clustering via deep semantic mapping;Zhao;Neurocomputing,2018

2. A semi-supervised approximate spectral clustering algorithm based on HMRF model;Ding;Inf. Sci.,2018

3. SMVC: semi-supervised multi-view clustering in subspace projections;Günnemann,2014

4. Partially shared latent factor learning with multiview data;Liu;IEEE Trans. Neural Netw. Learn. Syst.,2015

5. Multi-view learning overview: recent progress and new challenges;Zhao;Inf. Fusion,2017

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2. Deep low-rank tensor embedding for multi-view subspace clustering;Expert Systems with Applications;2024-03

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