Unsupervised feature selection through combining graph learning and \(\ell_{2, 0}\)-norm constraint
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Publication:6492535
DOI10.1016/J.INS.2022.11.156MaRDI QIDQ6492535
Xin Hou, Keke Tang, Zhen Wang, Yang Liu, Peican Zhu, Yin-Ping Zhao
Publication date: 25 April 2024
Published in: Information Sciences (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unsupervised feature selection based on kernel Fisher discriminant analysis and regression learning
- A factor graph model for unsupervised feature selection
- Least loss: a simplified filter method for feature selection
- A problem-specific non-dominated sorting genetic algorithm for supervised feature selection
- Multi-label feature selection based on the division of label topics
- LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition
- Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
- Gene selection for cancer classification using support vector machines
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