A novel split-and-merge algorithm for hierarchical clustering of Gaussian mixture models.
Branislav M. PopovicMarko JanevDarko PekarNiksa JakovljevicMilan GnjatovicMilan SecujskiVlado DelicPublished in: Appl. Intell. (2012)
Keyphrases
- hierarchical clustering
- gaussian mixture model
- mixture model
- clustering method
- em algorithm
- expectation maximization
- maximum likelihood
- feature vectors
- speaker recognition
- single linkage
- probability density function
- feature space
- clustering algorithm
- model based clustering
- density estimation
- hierarchical clustering algorithm
- k means
- speaker identification
- incremental clustering
- covariance matrices
- high dimensional
- partitional clustering
- pairwise
- computer vision
- data mining
- bayesian information criterion
- data sets