A Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering.
Keiji TatsumiYuki KawashitaTakahumi SugimotoPublished in: ICONIP (1) (2017)
Keyphrases
- multi class
- support vector machine
- multi objective
- svm classifier
- binary classifiers
- multi class classifier
- multiclass classification
- support vector
- linear classifiers
- evolutionary algorithm
- multi class svm
- multiclass problems
- feature selection
- error correcting output codes
- training data
- feature space
- cost sensitive classification
- classification algorithm
- binary classification
- support vector machine svm
- cost sensitive
- class probabilities
- single class
- multiple classes
- feature vectors
- training set
- generalization ability
- multi class classification
- svm classification
- machine learning
- multiclass learning
- decision boundary
- genetic algorithm
- kernel function
- knn
- k nearest neighbor
- hyperplane
- soft margin
- multi class problems
- learning algorithm
- feature set
- kernel methods
- perceptron algorithm
- decision trees
- binary classification problems
- majority voting
- cost sensitive learning
- base classifiers
- ensemble learning
- support vectors