Selecting Features Subsets Based on Support Vector Machine-Recursive Features Elimination and One Dimensional-Naïve Bayes Classifier using Support Vector Machines for Classification of Prostate and Breast Cancer.
Alhadi BustamamAnas BachtiarDevvi SarwindaPublished in: ICCSCI (2019)
Keyphrases
- bayes classifier
- bayes classifiers
- support vector machine
- support vector machines for classification
- breast cancer
- selecting features
- feature selection
- svm classifier
- selected features
- feature vectors
- feature subset
- naive bayes classifier
- logistic regression
- support vector machine svm
- multi class
- machine learning
- feature space
- classification method
- naive bayes
- k nearest neighbor
- knn
- decision trees
- probability density function
- training data
- support vector
- text classification
- individual features
- feature set
- feature extraction
- high dimensional
- feature selection algorithms
- incomplete data
- feature ranking
- image features
- single feature
- classification accuracy
- genetic algorithm
- data sets