Features and Metric from a Classifier Improve Visualizations with Dimension Reduction.
Elina ParviainenAki VehtariPublished in: ICANN (2) (2009)
Keyphrases
- dimension reduction
- feature space
- feature extraction
- feature set
- feature construction
- discriminative information
- high dimensionality
- feature selection
- high dimensional problems
- principal component analysis
- high dimensional
- linear discriminant analysis
- svm classifier
- classification accuracy
- random projections
- low dimensional
- high dimensional data analysis
- sparse metric learning
- support vector machine
- preprocessing
- singular value decomposition
- feature subset
- manifold learning
- classification models
- metric learning
- feature vectors
- training set
- training data
- dimensionality reduction
- intra class
- pattern recognition
- image segmentation