Identifying connected components in Gaussian finite mixture models for clustering.
Luca ScruccaPublished in: Comput. Stat. Data Anal. (2016)
Keyphrases
- connected components
- finite mixture models
- mixture modeling
- unsupervised learning
- binary images
- em algorithm
- model based clustering
- mixture model
- gaussian mixture model
- missing data
- high dimensional
- maximum likelihood
- data modeling
- clustering algorithm
- level set
- density estimation
- expectation maximization
- k means
- connected component labeling
- class distribution
- hierarchical clustering
- clustering method
- data points
- semantic video
- document clustering
- cluster analysis