A Novel Multi Thread Based Feature Selection for Dimensionality Reduction.
Deisy ChelliahB. SubbulakshmiS. BaskarN. RamarajPublished in: IICAI (2007)
Keyphrases
- dimensionality reduction
- feature selection
- high dimensionality
- high dimensional data
- low dimensional
- preprocessing step
- high dimensional
- feature extraction
- feature space
- class separability
- unsupervised learning
- information gain
- dimensionality reduction methods
- pattern recognition
- linear discriminant analysis
- text classification
- manifold learning
- principal component analysis
- classification accuracy
- dimension reduction
- text categorization
- unsupervised feature selection
- pattern recognition and machine learning
- random projections
- mutual information
- input space
- selected features
- subspace learning
- structure preserving
- multi class
- principal components
- linear dimensionality reduction
- data representation
- data points
- method for feature selection
- support vector
- lower dimensional
- linear discriminant
- gene expression data
- kernel learning
- data sets
- feature set
- support vector machine
- machine learning
- metric learning
- locally linear embedding
- nonlinear dimensionality reduction
- feature subset
- knn
- data analysis