Penalized model-based clustering with unconstrained covariance matrices

Keyphrases

• Covariance Matrix 100%
• Model-based Clustering 100%
• Penalized Models 100%
• Numerical Examples 50%
• Parameter Estimation 50%
• Mean Parameter 50%
• Gaussian Mixture Model 50%
• Microarray Data 50%
• Microarray Gene Expression 50%
• Noise Removal 50%
• Large Covariance Matrix 50%
• EM Algorithm 50%
• High-dimensional Analysis 50%
• Graphical Lasso 50%
• General Covariance 50%
• Noise Variables 50%
• Simultaneous Parameter Estimation 50%
• Clustering Structure 50%

Computer Science

• Feature Selection 100%
• Covariance Matrix 100%
• Parameter Estimation 66%
• Gene Expression Data 33%
• Microarray Data 33%
• Resulting Cluster 33%
• Clustering Structure 33%
• Regularization 33%
• Numerical Example 33%
• Technical Challenge 33%
• Dimensional Analysis 33%
• Gaussian Mixture Model 33%

Mathematics

• Covariance Matrix 100%
• Model-Based Clustering 100%
• Parameter Estimation 66%
• Regularization 33%
• Gaussian Mixture Model 33%
• Numerical Example 33%
• Dimensional Analysis 33%
• Least Absolute Shrinkage and Selection Operator 33%