dimRed and coRanking - Unifying Dimensionality Reduction in R.
Guido KraemerMarkus ReichsteinMiguel D. MahechaPublished in: R J. (2018)
Keyphrases
- dimensionality reduction
- principal component analysis
- high dimensional
- high dimensional data
- feature extraction
- high dimensionality
- dimensionality reduction methods
- low dimensional
- nonlinear dimensionality reduction
- pattern recognition and machine learning
- pattern recognition
- feature space
- structure preserving
- euclidean distance
- manifold learning
- data representation
- linear dimensionality reduction
- input space
- linear discriminant analysis
- feature selection
- lower dimensional
- data sets
- singular value decomposition
- data points
- preprocessing step
- text categorization
- metric learning
- intrinsic dimensionality
- databases
- real world
- learning algorithm
- search engine
- multidimensional scaling
- kernel pca
- random projections
- principal components