A Price We Pay for Inexact Dimensionality Reduction.
Sarunas RaudysVytautas ValaitisZidrina PabarskaiteGene BiziulevicienePublished in: IWBBIO (2) (2015)
Keyphrases
- dimensionality reduction
- low dimensional
- principal component analysis
- pattern recognition
- high dimensionality
- high dimensional data
- pattern recognition and machine learning
- high dimensional
- preprocessing step
- feature extraction
- data representation
- feature space
- dimensionality reduction methods
- structure preserving
- linear projection
- euclidean distance
- input space
- data points
- feature selection
- manifold learning
- linear discriminant analysis
- principal components
- lower dimensional
- kernel pca
- nonlinear dimensionality reduction
- dimension reduction
- databases
- sparse representation
- data analysis
- random projections
- principal components analysis
- face recognition
- knowledge base
- linear dimensionality reduction
- machine learning
- neural network