Keyphrases
- high dimensional data
- high dimensionality
- dimensionality reduction
- dimension reduction
- nearest neighbor
- high dimensional
- low dimensional
- small sample size
- data points
- data sets
- high dimensions
- regression problems
- pattern recognition
- multivariate temporal data
- subspace clustering
- similarity search
- data analysis
- feature extraction
- high dimensional feature spaces
- lower dimensional
- data distribution
- missing values
- linear discriminant analysis
- high dimensional spaces
- nearest neighbor search
- input space
- feature selection
- clustering high dimensional data
- support vector
- manifold learning
- decision trees
- dimensionality reduction methods
- variable weighting
- support vector machine
- database
- nonlinear dimensionality reduction
- high dimensional data sets
- dimensional data
- subspace learning
- training data
- text data
- sparse representation
- text classification
- feature vectors
- training set
- training samples
- input data
- principal component analysis