Approximate Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering.
Keiji TatsumiTakahumi SugimotoYoshifumi KusunokiPublished in: IUKM (2019)
Keyphrases
- multi class
- support vector machine
- multi objective
- svm classifier
- multi class classifier
- binary classifiers
- multiclass classification
- linear classifiers
- feature selection
- evolutionary algorithm
- class probabilities
- multi class svm
- multiclass problems
- support vector
- error correcting output codes
- binary classification
- cost sensitive classification
- support vector machine svm
- decision boundary
- svm classification
- binary classification problems
- feature vectors
- training set
- generalization ability
- multiple classes
- multi class classification
- objective function
- training data
- classification algorithm
- kernel methods
- feature space
- k nearest neighbor
- knn
- machine learning
- perceptron algorithm
- base classifiers
- ensemble classifier
- cost sensitive
- genetic algorithm
- single class
- multiclass learning
- multiclass svm
- ls svm
- data sets
- kernel function
- feature extraction
- decision trees
- generalized discriminant analysis