Shared and individual representation learning with feature diversity for deep multiview clustering
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Publication:6095587
DOI10.1016/j.ins.2023.119426MaRDI QIDQ6095587
Ling-Ling Li, Furong Peng, Sheng Wang, Jianfeng Lu, Liyong Chen, Ning Zheng
Publication date: 8 September 2023
Published in: Information Sciences (Search for Journal in Brave)
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)
Cites Work
- Unnamed Item
- Data mining. Concepts and techniques
- Auto-weighted multi-view co-clustering with bipartite graphs
- Multi-view clustering via multi-manifold regularized non-negative matrix factorization
- Semi-supervised linear discriminant analysis for dimension reduction and classification
- A survey on deep matrix factorizations
- Multimodal Deep Autoencoder for Human Pose Recovery
- Label Information Guided Graph Construction for Semi-Supervised Learning
- Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
- Adaptive Structure Concept Factorization for Multiview Clustering
- Learning the parts of objects by non-negative matrix factorization
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