A new feature selection method on classification of medical datasets: Kernel F-score feature selection.
Kemal PolatSalih GünesPublished in: Expert Syst. Appl. (2009)
Keyphrases
- feature selection
- method for feature selection
- classification accuracy
- support vector machine
- feature set
- class separability
- support vector
- discriminative features
- support vector machine svm
- feature subset
- feature space
- mutual information
- preprocessing
- dimension reduction
- feature weighting
- data pre processing
- select relevant features
- model selection
- classification method
- irrelevant features
- machine learning
- feature extraction
- cross validation
- unsupervised feature selection
- informative features
- bayes classifier
- support vector classification
- feature selection algorithms
- text categorization
- similarity measure
- redundant features
- linear svm
- feature ranking
- bayesian classifier
- text classification
- unsupervised learning
- classification algorithm
- multi class
- feature vectors
- decision trees
- kernel function
- classification performances
- feature selection and classification
- conditional mutual information
- histogram intersection kernel
- data sets
- high dimensional
- multiple kernel learning
- selected features
- classification rate
- benchmark data sets
- kernel methods
- training samples
- naive bayes