TW-k-means: Automated two-level variable weighting clustering algorithm for multiview data
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computational Theory and Mathematics,Computer Science Applications,Information Systems
Link
http://xplorestaging.ieee.org/ielx5/69/6468027/06109257.pdf?arnumber=6109257
Cited by 153 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
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4. Type of Study:Original Papertitle:Structured Multi-View K-Means Clusteringauthor Names and Affiliations:Zitong Zhang (Email: 1810272071@Email.Szu.Edu.Cn)(College of Computer Science and Software, Shenzhen University, Shenzhen, 518060, P.R. China.) Xiaojun Chen* (Email: Xjchen@Szu.Edu.Cn)(College of Computer Science and Software, Shenzhen University, Shenzhen, 518060, P.R. China.) Chen Wang (Email: Chenwang417@163.Com)(College of Computer Science and Software, Shenzhen University, Shenzhen, 518060, P.R. China.) Ruili Wang (Email: Ruili.Wang@Massey.Ac.Nz)(School of Mathematical and Computational Sciences, Massey University, Auckland, New Zealand) Wei Song (Email: Songvi@163.Com)(China Mobile Iot Company Limited, Chong Qing, 401121, P.R. China.) Feiping Nie (Email: Feipingnie@Gmail.Com)(School of;2024
5. Multi-view k-means clustering algorithm with improved initialization strategy Effective multi-view clustering algorithm;Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering;2023-11-17
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