Model-based clustering with sparse covariance matrices.
Michael FopThomas Brendan MurphyLuca ScruccaPublished in: Stat. Comput. (2019)
Keyphrases
- covariance matrices
- model based clustering
- covariance matrix
- maximum likelihood
- expectation maximization
- em algorithm
- gaussian mixture model
- mixture model
- gaussian distribution
- gaussian mixture
- vector space
- hierarchical clustering
- feature vectors
- high dimensional
- vector space model
- distance measure
- bayesian information criterion
- k means
- sparse representation
- principal component analysis
- low dimensional
- prior knowledge
- clustering method
- feature space
- probabilistic model
- language model