Penalized model-based clustering with application to variable selection

Mathematics

• Clustering Analysis 100%
• Model-based Clustering 96%
• Variable Selection 66%
• Gene Expression Profile 54%
• Model Selection Criteria 41%
• Penalized Likelihood 40%
• Thresholding 39%
• Penalization 37%
• Number of Components 36%
• EM Algorithm 35%
• Penalty Function 35%
• Diagonal matrix 34%
• Gene 31%
• Higher Dimensions 29%
• Covariance matrix 29%
• Choose 28%
• Prediction 25%
• Sample Size 24%
• Simulation Study 23%
• Context 19%
• Demonstrate 19%
• Model 10%

Engineering & Materials Science

• Gene expression 23%
• Covariance matrix 22%
• Genes 20%