From Transformation-Based Dimensionality Reduction to Feature Selection.
Mahdokht MasaeliGlenn FungJennifer G. DyPublished in: ICML (2010)
Keyphrases
- dimensionality reduction
- feature selection
- high dimensionality
- high dimensional
- feature extraction
- high dimensional data
- low dimensional
- class separability
- feature space
- text categorization
- preprocessing step
- data representation
- unsupervised learning
- manifold learning
- linear discriminant analysis
- data points
- random projections
- pattern recognition and machine learning
- structure preserving
- dimensionality reduction methods
- pattern recognition
- principal component analysis
- text classification
- nonlinear dimensionality reduction
- subspace learning
- classification accuracy
- mutual information
- linear dimensionality reduction
- linear discriminant
- lower dimensional
- knn
- support vector
- dimension reduction
- multi class
- selected features
- feature weighting
- linear transformation
- feature selection algorithms
- irrelevant features
- locally linear embedding
- machine learning
- redundant features
- decision trees
- graph embedding
- information gain
- multi task
- kernel learning
- metric learning
- feature set