Keyphrases
- dimensionality reduction
- high dimensional
- data representation
- low dimensional
- high dimensional data
- k means
- feature extraction
- pattern recognition
- principal component analysis
- feature space
- data points
- input space
- pattern recognition and machine learning
- high dimensionality
- euclidean distance
- dimensionality reduction methods
- structure preserving
- feature selection
- random projections
- linear discriminant analysis
- diffusion maps
- intrinsic dimensionality
- sparse representation
- preprocessing step
- principal components analysis
- lower dimensional
- linear dimensionality reduction
- partitioned data
- manifold learning
- principal components
- clustering algorithm
- spectral clustering
- dimension reduction
- cluster analysis
- singular value decomposition
- privacy preserving
- distance measure
- active learning
- image processing
- learning algorithm
- information retrieval
- machine learning
- databases