Feature Selection and Mass Classification Using Particle Swarm Optimization and Support Vector Machine.
Man To WongXiangjian HeWei-Chang YehZaidah IbrahimYuk Ying ChungPublished in: ICONIP (3) (2014)
Keyphrases
- support vector machine
- feature selection
- support vector
- svm classifier
- classification accuracy
- classification method
- support vector machine svm
- small sample
- classification models
- text classification
- feature space
- classification algorithm
- feature vectors
- machine learning
- multi class
- feature reduction
- svm classification
- classification performances
- feature selection algorithms
- feature set
- mutual information
- text categorization
- bayes classifier
- feature extraction
- generalization ability
- unsupervised learning
- pattern recognition
- ensemble classifier
- multi class support vector machines
- method for feature selection
- irrelevant features
- high classification accuracy
- decision trees
- training set
- knn
- high dimensionality
- image classification
- feature subset
- kernel function
- soft margin
- supervised learning
- microarray datasets
- feature ranking
- input features
- fold cross validation
- radial basis function
- cross validation
- discriminative features
- dimensionality reduction
- feature weighting
- selected features
- class separability
- decision boundary
- feature selection and classification
- training data
- dimension reduction