A Synthetic Minority Oversampling Technique Based on Gaussian Mixture Model Filtering for Imbalanced Data Classification.
Zhaozhao XuDerong ShenYue KouTiezheng NiePublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- gaussian mixture model
- imbalanced data classification
- minority class
- class imbalance
- class distribution
- mixture model
- classification error
- support vector machine
- feature vectors
- original data
- nearest neighbour
- cost sensitive learning
- decision boundary
- em algorithm
- feature space
- expectation maximization
- maximum likelihood
- training set
- sampling methods
- training dataset
- training data
- feature selection
- cost sensitive
- active learning
- ensemble learning
- probabilistic model
- mouth region
- hyperplane
- high dimensionality
- test set
- generative model
- multi class