Dimensionality Reduction and Optimum Feature Selection in Designing Efficient Classifiers.
Asit Kumar DasJaya SilPublished in: SEMCCO (2010)
Keyphrases
- feature selection
- dimensionality reduction
- high dimensionality
- feature extraction
- linear discriminant
- feature set
- support vector
- multi class
- text categorization
- high dimensional
- principal component analysis
- bayes classifier
- machine learning
- feature subset
- decision trees
- high dimensional data
- dimension reduction
- training data
- small sample
- feature selection algorithms
- model selection
- data representation
- classification models
- manifold learning
- semi supervised dimensionality reduction
- linear discriminant analysis
- training samples
- mutual information
- classification accuracy
- feature space
- pattern recognition
- text classification
- low dimensional
- ensemble learning
- discriminative features
- kernel learning
- dimensionality reduction methods
- image processing
- learning algorithm