A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection

optimization

A novel Sparse-Coding Based Approach Feature Selection with emphasizing joint l_1,2-norm minimization and the Class-Specific Feature Selection.

How to download and setup A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection

Open terminal and run command

git clone https://github.com/DavideNardone/A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection.git

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Also you may download zip file with A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection https://github.com/DavideNardone/A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection/archive/master.zip

Or simply clone A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection with SSH

[email protected]:DavideNardone/A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection.git

If you have some problems with A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection

You may open issue on A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection support forum (system) here: https://github.com/DavideNardone/A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection/issues

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