A nonparametric statistical approach to clustering via mode identification

Keyphrases

• Mode Identification 100%
• Ridge Line 100%
• Nonparametric Statistical 100%
• Clustering Approach 66%
• Mixture Model 66%
• Model-based Clustering 66%
• K-modes Clustering 66%
• Nonparametric Density Estimation 33%
• EM Algorithm 33%
• Optimization Methods 33%
• Model Fitting 33%
• Local Maxima 33%
• Gaussian Distribution 33%
• Hierarchical Clustering 33%
• Density Function 33%
• Mixture Modeling 33%
• Clustering Results 33%
• Separability Index 33%
• Kernel Density Estimation 33%
• High-dimensional Data 33%
• Linkage Model 33%
• Public Access 33%
• Extended Bandwidth 33%

Mathematics

• Mixture Model 100%
• Statistical Approach 100%
• Model-Based Clustering 100%
• Gaussian Distribution 50%
• EM Algorithm 50%
• Hierarchical Clustering 50%
• Parametric 50%
• Simulated Data 50%
• Higher Dimensions 50%
• Real Data 50%
• Density Function 50%
• Kernel Density Estimator 50%
• Sample Point 50%