Clustering algorithms on imbalanced data using the SMOTE technique for image segmentation.
Wajira AbeysingheChih-Cheng HungSlim BechikhXiaosong WangAltaf RattaniPublished in: RACS (2018)
Keyphrases
- imbalanced data
- image segmentation
- clustering algorithm
- class distribution
- linear regression
- imbalanced data sets
- ensemble methods
- feature selection
- graph cuts
- imbalanced datasets
- decision trees
- highly skewed
- class imbalance
- classification models
- k means
- svm classifier
- support vector machine
- random forest
- sampling methods
- ensemble learning
- benchmark datasets
- ensemble classifier
- highly imbalanced