Clustering and Finding the Number of Clusters by Unsupervised Learning of Mixture Models using Vector Quantization.
Sangho YoonRobert M. GrayPublished in: ICASSP (3) (2007)
Keyphrases
- unsupervised learning
- vector quantization
- mixture model
- data clustering
- cluster analysis
- clustering algorithm
- self organizing maps
- image compression
- model based clustering
- finite mixture models
- cluster centers
- hierarchical clustering
- density estimation
- supervised learning
- mixture components
- probabilistic model
- semi supervised
- neural gas
- vector quantizer
- data points
- expectation maximization
- mixture modeling
- gaussian mixture model
- document clustering
- model selection
- reinforcement learning
- sparse coding
- competitive learning
- object recognition
- minimum message length
- probability density function
- fuzzy c means
- neural network
- high dimensional data
- clustering method
- em algorithm
- maximum likelihood
- subspace projections