Riemannian competitive learning for symmetric positive definite matrices clustering.
Ligang ZhengGuoping QiuJiwu HuangPublished in: Neurocomputing (2018)
Keyphrases
- competitive learning
- symmetric positive definite matrices
- dictionary learning
- valued data
- self organizing maps
- vector space
- data clustering
- riemannian manifolds
- k means
- matrix valued
- unsupervised learning
- sparse coding
- information theoretic
- log euclidean
- riemannian metric
- neural network
- sparse representation
- euclidean space
- feature maps
- clustering method
- cluster analysis
- covariance matrices
- clustering algorithm
- dw mri
- computer vision
- mutual information
- free energy
- supervised learning
- training data
- support vector
- dt mri
- object recognition
- shape representation
- semi supervised