Multi-View Adjacency-Constrained Hierarchical Clustering

Author:

Yang Jie1ORCID,Lin Chin-Teng1ORCID

Affiliation:

1. Computational Intelligence and Brain Computer Interface Lab, Australian AI Institute, FEIT, University of Technology Sydney, Sydney, NSW, Australia

Funder

Australian Research Council

Australia Defense Innovation Hub

U.S. Office of Naval Research Global

AFOSR

DST

NSW Defense Innovation Network

NSW State Government of Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Cited by 11 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

1. Multi-view Stable Feature Selection with Adaptive Optimization of View Weights;Knowledge-Based Systems;2024-09

2. Modeling and Clustering of Parabolic Granular Data;IEEE Transactions on Artificial Intelligence;2024-07

3. An Overall Framework of Modeling, Clustering, and Evaluation for Trapezoidal Information Granules;IEEE Transactions on Fuzzy Systems;2024-06

4. Diversity-Induced Bipartite Graph Fusion for Multiview Graph Clustering;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-06

5. Latent Multi-view Clustering Based Adaptive Graph Constraint;International Conference on Computing, Machine Learning and Data Science;2024-04-12

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