A Review of Multi-View Clustering Algorithms-Reference-Cited by-同舟云学术

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A Review of Multi-View Clustering Algorithms

Published:2023-11-03 Issue: Volume:45 Page:847-851
ISSN:
Container-title:2023 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)
language:
Short-container-title:

Author:

Wang Yuxin¹,Liu Xiaowei¹,Qi Yifeng¹,Guo Jiangyang¹,Han Jianing²,Zhang Jialiang¹,Zhang Zhi¹,Lian Jianguo³,Nie Weizhi⁴

Affiliation:

1. Tianjin Agricultural University,School of Computer and Information Engineering,Tianjin,China

2. Unicom Video Technology Co., Ltd.,Tianjin,China

3. Tianjin Huada Technology Co., Ltd.,Tianjin,China

4. Tianjin University,School of Electrical Automation and Information Engineering

Funder

Innovation Fund

Ministry of Education

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424714/10424727/10424829.pdf?arnumber=10424829

Reference19 articles.

1. Progress and prospect of multi-view clustering research[J];Jiye;Journal of Shanxi University(Natural Science Edition),2022

2. Estimation of Mixture Models Using Co-EM

3. Co-regularized multi-view spectral clustering[C];KUMAR

4. Co-regularized multi-view spectral clustering[J];KUMAR;Advances in neural information processing systems,2011

5. Co-regularized kernel k-means for multi-view clustering

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