Multi-cluster nonlinear unsupervised feature selection via joint manifold learning and generalized Lasso-Reference-Cited by-同舟云学术

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Multi-cluster nonlinear unsupervised feature selection via joint manifold learning and generalized Lasso

Published:2024-12 Issue: Volume:255 Page:124502
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Wang Yadi^ORCID,Huang Mengyao^ORCID,Zhou Liming^ORCID,Che Hangjun^ORCID,Jiang Bingbing^ORCID

Publisher

Elsevier BV

Reference58 articles.

1. Laplacian eigenmaps and spectral techniques for embedding and clustering;Belkin,2001

2. Laplacian eigenmaps for dimensionality reduction and data representation;Belkin;Neural Computation,2003

3. Unsupervised feature selection for multi-cluster data;Cai,2010

4. Consensus cluster structure guided multi-view unsupervised feature selection;Cao;Knowledge-Based Systems,2023

5. Constrained band selection for hyperspectral imagery;Chang;IEEE Transactions on Geoscience and Remote Sensing,2006

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