Multifator dimensionality reduction method based on area under receiver operating characteristic curve.
Soyeon ParkWonkuk KimPublished in: Model. Assist. Stat. Appl. (2017)
Keyphrases
- dimensionality reduction methods
- receiver operating characteristic curves
- dimensionality reduction
- discriminant analysis
- discriminant projection
- data sets
- artificial neural networks
- principal component analysis
- knn
- preprocessing step
- high dimensional data analysis
- principal components analysis
- kernel trick
- distance measure
- feature extraction
- high dimensional
- feature set
- dimension reduction
- pattern recognition
- fisher discriminant analysis
- random projections
- high dimensional data
- low dimensional
- high dimensionality
- unsupervised learning
- linear discriminant analysis
- document clustering
- principal components
- manifold learning
- partial least squares
- nearest neighbor
- feature vectors
- singular value decomposition
- supervised dimensionality reduction
- preprocessing
- text categorization