Bayesian sparse convex clustering via global-local shrinkage priors.
Kaito ShimamuraShuichi KawanoPublished in: CoRR (2019)
Keyphrases
- clustering algorithm
- clustering method
- k means
- convex optimization
- high dimensional
- sparse bayesian learning
- denoising
- prior distribution
- document clustering
- data clustering
- bayesian approaches
- unsupervised learning
- self organizing maps
- image denoising
- prior probabilities
- bayesian networks
- sparse coding
- bayesian framework
- hierarchical clustering
- prior information
- sparse representation
- maximum likelihood
- low rank
- gaussian processes
- convex hull
- belief nets
- prior knowledge
- alternating optimization