Imbalanced data classifier by using ensemble fuzzy c-means clustering.
Yücel KoçyigitHuseyin SekerPublished in: BHI (2012)
Keyphrases
- imbalanced data
- fuzzy c means clustering
- ensemble classifier
- ensemble learning
- support vector machine
- feature selection
- classification models
- ensemble methods
- svm classifier
- decision trees
- fuzzy c means
- minority class
- class distribution
- training data
- random forest
- decision boundary
- clustering method
- base classifiers
- support vector
- training set
- feature set
- feature space
- linear regression
- classification algorithm
- sampling methods
- random forests
- training samples
- benchmark datasets
- training examples
- dimensionality reduction
- concept drift
- feature extraction
- support vector machine svm
- cost sensitive learning
- fusion method
- learning algorithm
- clustering algorithm
- pairwise
- data points
- knn
- linear classifiers
- class imbalance
- prediction accuracy
- input image