A comparison of performance of K-complex classification methods using feature selection.
Elena Hernández-PereiraVerónica Bolón-CanedoNoelia Sánchez-MaroñoDiego Álvarez-EstévezVicente Moret-BonilloAmparo Alonso-BetanzosPublished in: Inf. Sci. (2016)
Keyphrases
- feature selection
- discriminative features
- classification method
- benchmark datasets
- preprocessing
- feature selection and classification
- classification performances
- support vector
- higher classification accuracy
- classification models
- text classification
- feature subset
- machine learning methods
- pattern recognition
- small samples
- terms of classification accuracy
- machine learning
- feature selection algorithms
- support vector machine
- classification accuracy
- classification algorithm
- cross validation
- feature extraction
- feature vectors
- benchmark data sets
- mutual information
- robust classification
- classification systems
- feature construction
- significant improvement
- data pre processing
- data sets
- training data
- redundant features
- informative features
- accurate classification
- small sample
- principal component analysis
- machine learning algorithms
- missing values
- decision trees