Using sub-sampling and ensemble clustering techniques to improve performance of imbalanced classification.
Samad NejatianHamid ParvinEshagh FarajiPublished in: Neurocomputing (2018)
Keyphrases
- ensemble clustering
- imbalanced data
- classification accuracy
- supervised learning
- class imbalance
- text classification
- image classification
- machine learning
- support vector machine
- support vector
- class distribution
- decision trees
- data sets
- minority class
- training set
- benchmark datasets
- sampling methods
- feature space
- class labels
- machine learning methods
- feature selection