An Adaptive Pre-clustering Support Vector Machine for Binary Imbalanced Classification.
Zonglin DiSiYa YaoQi KangMengchu ZhouPublished in: SMC (2018)
Keyphrases
- support vector machine
- svm classifier
- binary classification problems
- classification method
- multi class svm
- support vector machine svm
- clustering algorithm
- machine learning
- feature selection
- feature vectors
- unsupervised learning
- multi class
- classification algorithm
- high classification accuracy
- svm classification
- support vector
- pattern recognition
- binary classifiers
- classification accuracy
- generalization ability
- text classification
- k means
- classification models
- feature space
- decision boundary
- high dimensionality
- small sample
- feature extraction
- kernel function
- knn
- clustering analysis
- decision trees
- data points
- supervised classification
- hyperplane
- kernel methods
- multi class classification
- class imbalance
- unsupervised clustering
- cluster analysis
- training data
- training set
- imbalanced data sets
- rare class
- clustering method
- multi class support vector machines