GitHub / DavideNardone / A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection
A novel Sparse-Coding Based Approach Feature Selection with emphasizing joint l_1,2-norm minimization and the Class-Specific Feature Selection.
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PURL: pkg:github/DavideNardone/A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection
Stars: 13
Forks: 5
Open issues: 0
License: agpl-3.0
Language: Python
Size: 8.95 MB
Dependencies parsed at: Pending
Created at: over 7 years ago
Updated at: over 3 years ago
Pushed at: about 5 years ago
Last synced at: over 2 years ago
Topics: bioinformatics, compressed-sensing, feature-selection, machine-learning, optimization, sparse-coding, tuning-parameters