Hard-Clustering with Gaussian Mixture Models.
Johannes BlömerSascha BrauerKathrin BujnaPublished in: CoRR (2016)
Keyphrases
- gaussian mixture model
- mixture model
- speaker recognition
- clustering algorithm
- density estimation
- bayesian information criterion
- finite mixture models
- feature vectors
- mixture modeling
- maximum likelihood
- em algorithm
- expectation maximization
- covariance matrices
- probability density
- hierarchical clustering
- k means
- feature space
- speaker identification
- unsupervised learning
- gaussian mixture
- gaussian distribution
- variational bayes
- finite mixtures
- probability density function
- object recognition
- probabilistic neural network
- learning algorithm
- generative model
- model selection
- principal component analysis
- data points
- probability distribution