Ensemble Linear Subspace Analysis of High-Dimensional Data.
S. Ejaz AhmedSaeid AmiriKjell A. DoksumPublished in: Entropy (2021)
Keyphrases
- high dimensional data
- subspace analysis
- low dimensional
- subspace learning
- linear discriminant analysis
- dimensionality reduction
- high dimensional
- linear subspace
- nearest neighbor
- data points
- subspace clustering
- manifold learning
- high dimensionality
- subspace methods
- data sets
- lower dimensional
- data analysis
- similarity search
- dimension reduction
- input space
- training set
- ensemble methods
- original data
- principal component analysis
- learning algorithm
- sparse representation
- euclidean space
- pairwise
- pattern recognition
- kernel methods
- image classification
- image data
- feature space