A novel feature selection by clustering coefficients of variations.
Simon FongJustin LiangRaymond K. WongMojgan GhanavatiPublished in: ICDIM (2014)
Keyphrases
- feature selection
- unsupervised learning
- clustering algorithm
- high dimensionality
- text categorization
- unsupervised feature selection
- mutual information
- clustering method
- text classification
- k means
- multi class
- data clustering
- wavelet coefficients
- cluster analysis
- feature extraction
- data pre processing
- machine learning
- document clustering
- linear combination
- feature selection algorithms
- basis functions
- selected features
- class separability
- self organizing maps
- image compression
- nearest neighbor
- data mining
- feature set
- dimensionality reduction
- image registration
- hierarchical clustering
- multi task
- support vector machine
- categorical data
- multiresolution
- feature subspace
- feature space
- support vector
- genetic algorithm
- selecting features