Two key properties of dimensionality reduction methods.
John Aldo LeeMichel VerleysenPublished in: CIDM (2014)
Keyphrases
- key properties
- dimensionality reduction methods
- dimensionality reduction
- discriminant analysis
- principal component analysis
- data sets
- knn
- preprocessing step
- principal components analysis
- random projections
- distance measure
- nonlinear dimensionality reduction
- feature extraction
- discriminant projection
- high dimensional data
- low dimensional
- feature fusion
- pattern recognition
- linear discriminant analysis
- high dimensional
- manifold learning
- feature selection
- unsupervised learning
- feature space
- feature set
- image classification
- k nearest neighbor
- dimension reduction
- high dimensionality
- covariance matrix
- image reconstruction
- clustering algorithm