Bayesian sparse convex clustering via global-local shrinkage priors.
Kaito ShimamuraShuichi KawanoPublished in: Comput. Stat. (2021)
Keyphrases
- clustering method
- clustering algorithm
- k means
- sparse bayesian learning
- bayesian networks
- cluster analysis
- hierarchical clustering
- bayesian models
- image processing
- belief nets
- spectral clustering
- high dimensional data
- convex optimization
- piecewise linear
- unsupervised learning
- prior probabilities
- alternating optimization
- self organizing maps
- multiscale
- bayesian approaches
- relevance vector machine
- prior distribution
- bayesian learning
- fuzzy clustering
- bayesian framework
- prior information
- sparse representation
- convex hull