An Experimental Study of Dimensionality Reduction Methods.
Almuth MeierOliver KramerPublished in: KI (2017)
Keyphrases
- dimensionality reduction methods
- dimensionality reduction
- discriminant analysis
- principal component analysis
- data sets
- knn
- preprocessing step
- principal components analysis
- discriminant projection
- distance measure
- nonlinear dimensionality reduction
- random projections
- feature extraction
- feature set
- linear discriminant analysis
- document clustering
- k nearest neighbor
- low dimensional
- high dimensional
- locally linear embedding
- manifold learning
- pattern recognition
- feature fusion
- high dimensionality
- upper bound
- image processing
- feature selection