A positive region-based dimensionality reduction from high dimensional data.
Zhe DaiJianhui LiuPublished in: BMEI (2015)
Keyphrases
- high dimensional data
- dimensionality reduction
- low dimensional
- high dimensionality
- high dimensional
- dimension reduction
- data points
- feature extraction
- principal component analysis
- high dimensions
- nonlinear dimensionality reduction
- linear discriminant analysis
- original data
- subspace clustering
- high dimensional spaces
- manifold learning
- data sets
- nearest neighbor
- lower dimensional
- data representation
- similarity search
- input space
- preprocessing step
- low rank
- dimensional data
- euclidean distance
- sparse representation
- data analysis
- pattern recognition
- high dimensional datasets
- locally linear embedding
- dimensionality reduction methods
- clustering high dimensional data
- feature selection
- feature space
- random projections
- principal components
- intrinsic dimensionality
- small sample size
- high dimensional data sets
- subspace learning
- metric learning
- input data
- diffusion maps
- training data