Comparison of Two Families of Entropy-based Classification Measures with and without Feature Selection.
Kendall GilesKweku-Muata BrysonQui WengPublished in: HICSS (2001)
Keyphrases
- feature selection
- classification accuracy
- feature extraction
- confusion matrices
- text classification
- classification models
- feature set
- accurate classification
- machine learning
- feature space
- support vector machine
- dimension reduction
- discriminative features
- feature selection algorithms
- high dimensionality
- model selection
- feature vectors
- support vector
- image classification
- pattern recognition
- feature selection and classification
- class separability
- text categorization
- unsupervised learning
- irrelevant features
- feature subset
- bayes classifier
- automatic classification
- informative features
- method for feature selection
- small sample
- feature subset selection
- classification rate
- class imbalance
- classification rules
- naive bayes
- support vector machine svm
- selected features
- extracted features
- knn
- multi class
- individual features
- classification method
- unsupervised feature selection
- classification algorithm
- support vector classification
- decision trees
- select relevant features