Sparse cluster analysis of large-scale discrete variables with application to single nucleotide polymorphism data

Mathematics

• Single nucleotide Polymorphism 100%
• Latent Class Model 96%
• Cluster Analysis 85%
• Discrete Variables 83%
• Clustering 65%
• Coordinate Descent 31%
• Clustering Methods 31%
• Gene Expression Data 30%
• Microarray Data 29%
• Penalized Likelihood 28%
• Discrete Data 27%
• Expectation-maximization Algorithm 27%
• Missing Values 27%
• Lasso 27%
• Euclidean Distance 25%
• Generalized Linear Model 24%
• Model 22%
• Numerical Algorithms 22%
• Extremes 20%
• Efficient Algorithms 19%
• Covariates 19%
• Simulation Study 16%
• Performance 13%

Business & Economics

• Cluster Analysis 95%
• Polymorphism 85%
• Latent Class Model 71%
• Clustering 63%
• Simulation: Applications 27%
• Discrete Data 27%
• Microarray 26%
• Missing Values 24%
• Numerical Algorithms 24%
• Gene Expression 24%
• Euclidean Distance 23%
• Generalized Linear Model 22%
• Covariates 17%
• Simulation Study 16%
• Performance 6%