Combine Vector Quantization and Support Vector Machine for Imbalanced Datasets.
Ting YuJohn K. DebenhamTony JanSimeon J. SimoffPublished in: IFIP AI (2006)
Keyphrases
- vector quantization
- imbalanced datasets
- support vector machine
- image compression
- imbalanced data
- cost sensitive learning
- class distribution
- vector quantizer
- multi class
- class imbalance
- svm classifier
- distortion measure
- support vector machine svm
- ensemble methods
- decision trees
- minority class
- support vector
- cost sensitive
- training data
- training dataset
- sampling methods
- kernel function
- training set
- feature vectors
- hyperplane
- feature space
- binary classification
- decision boundary
- image processing
- machine learning
- active learning
- data mining
- multiscale
- radial basis function