Imbalanced Data Classification Algorithm Based on Clustering and SVM.
Bo HuangYimin ZhuZhongzhen WangZhijun FangPublished in: J. Circuits Syst. Comput. (2021)
Keyphrases
- classification algorithm
- imbalanced data
- support vector machine
- clustering algorithm
- knn
- class distribution
- training set
- k nearest neighbor
- concept drift
- naive bayes
- base learners
- imbalanced datasets
- class imbalance
- svm classifier
- support vector machine svm
- class labels
- feature selection
- decision trees
- support vector
- multi class
- data points
- learning algorithm
- high dimensionality
- linear regression
- classification models
- base classifiers
- minority class
- sampling methods
- ensemble classifier
- decision boundary
- feature vectors
- ensemble methods
- training data
- cost sensitive
- training dataset
- active learning
- probability estimation
- neural network
- high dimensional data
- kernel function
- classification accuracy
- machine learning