Feature selection for unsupervised learning via comparison of distance matrices

Keyphrases

• Class Information 20%
• Data Dimensionality 20%
• Detection Rate 20%
• Distance Matrix 100%
• Experimental Configuration 20%
• Feature Combination 20%
• Feature Selection 100%
• Feature Subset 20%
• Feature Subspace 20%
• Supervised Learning 20%
• Unsupervised Learning 100%

Computer Science

• Class Information 20%
• Detection Rate 20%
• Distance Matrix 100%
• Feature Extraction 100%
• Feature Selection 100%
• Supervised Learning 20%
• Unsupervised Learning 100%

Chemical Engineering

• Supervised Learning 50%
• Unsupervised Learning 100%