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Subspace learning-based graph regularized feature selection
Ronghua Shang
, Wenbing Wang
,
Rustam Stolkin
, Licheng Jiao
Mechanical Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
43
Citations (Scopus)
446
Downloads (Pure)
Overview
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Dive into the research topics of 'Subspace learning-based graph regularized feature selection'. Together they form a unique fingerprint.
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Keyphrases
Learning-based
100%
Feature Selection
100%
Subspace Learning
100%
Graph Regularized
100%
Feature Selection Methods
50%
Benchmark Dataset
25%
Feature Map
25%
Accurate Discrimination
25%
Publicly Available
25%
Novel Algorithm
25%
Structure Information
25%
Sparsity
25%
Feature Space
25%
Geometric Structure
25%
Nontrivial Solutions
25%
L2,1-norm
25%
Discrimination Information
25%
Feature Manifold
25%
Selection Framework
25%
Selection Matrix
25%
Graph Regularization
25%
Computer Science
Feature Extraction
100%
Feature Selection
100%
Sparsity
14%
Feature Space
14%
Regularization
14%
Selection Matrix
14%
Trivial Solution
14%
Feature Map
14%
Biochemistry, Genetics and Molecular Biology
Feature Extraction
100%
Solution and Solubility
14%