A clustering based approach to reduce feature redundancy

Keyphrases

• Clustering Algorithm 100%
• Unsupervised Feature Selection 100%
• Feature Redundancy 100%
• Clustering Methods 100%
• Highest Weight 50%
• Maximum Information 50%
• Compression Index 50%
• Information Compression 50%
• Similar Features 50%
• Cluster Centroid 50%
• Selected Features 50%
• Feature Weighting 50%
• Feature Selection Methods 50%
• Data Preprocessing 50%
• EEG Data 50%
• Cluster Recovery 50%
• Popular 50%
• Clustered Data 50%
• Relevance Degree 50%

Computer Science

• Feature Selection 100%
• Clustering Algorithm 100%
• Feature Extraction 50%
• Preprocessing Step 50%
• Cluster Centroid 50%
• Data Preprocessing 50%
• Research Effort 50%