Feature weighted rival penalized EM for Gaussian mixture clustering: Automatic feature and model selections in a single paradigm

Keyphrases

• Expectation-maximization Algorithm 100%
• Gaussian Mixture Clustering 100%
• Automatic Model Selection 100%
• Feature Weight 100%
• Automatic Feature Selection 100%
• Model Selection 50%
• Number of Clusters 50%
• Learning Paradigm 50%
• Mixture Model 50%
• Irrelevant Variables 50%
• Feature Salience 50%

Engineering

• Gaussian Mixture 100%
• Expectation Maximization Algorithm 100%
• Real Data 50%
• Conducted Experiment 50%

Computer Science

• Gaussian Mixture 100%
• Real Data Sets 100%