A roadmap to multifactor dimensionality reduction methods.
Damian GolaJestinah M. Mahachie JohnKristel Van SteenInke R. KönigPublished in: Briefings Bioinform. (2016)
Keyphrases
- dimensionality reduction methods
- dimensionality reduction
- discriminant analysis
- principal component analysis
- knn
- preprocessing step
- data sets
- principal components analysis
- discriminant projection
- distance measure
- random projections
- nonlinear dimensionality reduction
- pattern recognition
- k nearest neighbor
- feature set
- feature extraction
- document clustering
- database
- locally linear embedding
- nearest neighbor
- high dimensionality
- high dimensional data
- low dimensional
- signal processing
- high dimensional
- linear discriminant analysis
- objective function
- singular value decomposition
- manifold learning
- face recognition
- feature selection
- feature vectors