Keyphrases
- dimension reduction
- model based clustering
- hierarchical clustering
- principal component analysis
- mixture model
- expectation maximization
- em algorithm
- feature extraction
- k means
- linear discriminant analysis
- singular value decomposition
- unsupervised learning
- high dimensional
- low dimensional
- feature selection
- high dimensional data
- clustering algorithm
- cluster analysis
- dimensionality reduction
- high dimensionality
- vector space model
- feature space
- maximum likelihood
- variable selection
- preprocessing
- vector space
- document clustering
- nearest neighbor
- image segmentation
- knowledge discovery