Bayesian Nonparametric Clustering for Positive Definite Matrices

Mathematics

• Bayesian Nonparametrics 100%
• Positive definite matrix 91%
• Clustering 76%
• Clustering Algorithm 70%
• Dirichlet Process 67%
• Symmetric Positive Definite Matrix 66%
• Computer Vision 63%
• Process Model 59%
• Mixture Model 56%
• Data Clustering 40%
• Dissimilarity Measure 39%
• Dirichlet Process Prior 37%
• K-means 37%
• Wishart Distribution 36%
• Expectation Maximization 35%
• Euclidean geometry 34%
• Number of Clusters 33%
• Texture 33%
• Descriptors 31%
• Framework 30%
• Imaging 29%
• Model-based 24%
• Divergence 23%
• Determinant 22%
• Riemannian Manifold 22%
• Tensor 21%
• Experiment 20%
• Model 17%
• Modeling 17%
• Demonstrate 16%

Engineering & Materials Science

• Clustering algorithms 24%
• Diffusion tensor imaging 20%
• Object tracking 14%
• Textures 10%
• Geometry 8%
• Computer simulation 7%
• Experiments 4%