A novel information-theoretic clustering algorithm for robust, unsupervised classification

Keyphrases

• Unsupervised Classification 100%
• Clustering Algorithm 100%
• Cluster Member 100%
• Information Clustering 100%
• Synthetic Data 50%
• Information Theory 50%
• Relative Cost 50%
• Distributed Cluster 50%
• Number of Clusters 50%
• Fixed Threshold 50%
• Subtractive Clustering 50%
• Cluster Center 50%
• Minimum Entropy 50%
• Maximum mutual Information 50%
• Threshold Constraint 50%
• Decision Region 50%

Computer Science

• Clustering Algorithm 100%
• Mutual Information 50%
• Synthetic Data 50%
• Decisions Region 50%
• Statistical Sense 50%