Subspace based feature selection for pattern recognition.
Serkan GünalRifat EdizkanPublished in: Inf. Sci. (2008)
Keyphrases
- pattern recognition
- feature selection
- dimensionality reduction
- feature extraction
- feature space
- low dimensional
- machine learning
- high dimensional data
- image analysis
- text categorization
- subspace learning
- support vector machine svm
- neural network
- principal component analysis
- feature subspace
- high dimensionality
- mutual information
- high dimensional
- pattern classification
- information gain
- feature set
- feature subset
- text classification
- classification accuracy
- feature selection algorithms
- support vector
- signal processing
- lower dimensional
- feature weighting
- multi class
- image processing
- gene expression data
- graph matching
- support vector machine
- multi task
- feature vectors
- feature ranking
- subspace methods
- unsupervised learning
- linear subspace
- method for feature selection
- clustering high dimensional data
- selected features
- subspace clustering
- microarray data
- fuzzy sets
- genetic algorithm
- data mining