Keyphrases
- feature space
- clustering algorithm
- data points
- high dimensionality
- clustering method
- k means
- dissimilarity measure
- cluster analysis
- kernel function
- categorical data
- dimension reduction
- feature vectors
- high dimensional
- unsupervised learning
- principal component analysis
- graph theoretic
- information theoretic
- image representation
- dimensionality reduction
- data clustering
- riemannian manifolds
- spectral clustering
- kernel pca
- document clustering
- mean shift
- self organizing maps
- anomaly detection
- low dimensional
- nearest neighbor
- support vector machine
- multiscale