Consensus cluster structure guided multi-view unsupervised feature selection
Published 2023 View Full Article
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Title
Consensus cluster structure guided multi-view unsupervised feature selection
Authors
Keywords
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Journal
KNOWLEDGE-BASED SYSTEMS
Volume 271, Issue -, Pages 110578
Publisher
Elsevier BV
Online
2023-04-20
DOI
10.1016/j.knosys.2023.110578
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Related references
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- Multi-view adaptive semi-supervised feature selection with the self-paced learning
- (2019) Caijuan Shi et al. SIGNAL PROCESSING
- Robust graph regularized unsupervised feature selection
- (2018) Chang Tang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Consensus learning guided multi-view unsupervised feature selection
- (2018) Chang Tang et al. KNOWLEDGE-BASED SYSTEMS
- Robust unsupervised feature selection via dual self-representation and manifold regularization
- (2018) Chang Tang et al. KNOWLEDGE-BASED SYSTEMS
- Multi-View Unsupervised Feature Selection with Adaptive Similarity and View Weight
- (2017) Chenping Hou et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Adaptive multi-view feature selection for human motion retrieval
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- Multimodal Deep Autoencoder for Human Pose Recovery
- (2015) Chaoqun Hong et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Unsupervised feature selection by regularized self-representation
- (2015) Pengfei Zhu et al. PATTERN RECOGNITION
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