Maximum weighted likelihood via rival penalized EM for density mixture clustering with automatic model selection

Keyphrases

• Expectation-maximization Algorithm 100%
• Expectation Maximization 100%
• Weighted Likelihood 100%
• Automatic Model Selection 100%
• Mixture Model Clustering 100%
• RPCCL 100%
• Model Selection 33%
• Segmentation Problem 33%
• Color Image Segmentation 33%
• Stochastic Version 33%
• Excellent Performance 33%
• Clustering Problem 33%
• Gaussian Mixture 33%
• Learning Process 33%
• Selection Problem 33%
• Weight Design 33%
• Posterior Density 33%
• Density Probability 33%
• Specific Weight 33%

Mathematics

• Clustering 100%
• Model Selection 100%
• Expectation-Maximization Algorithm 100%
• Stochastics 66%
• Time Step 33%
• Gaussian Distribution 33%
• Color Image 33%
• Design Weight 33%
• probability density ρ 33%