A multi-manifold learning based instance weighting and under-sampling for imbalanced data classification problems.
Tayyebe FeiziMohammad Hossein MoattarHamid TabatabaeePublished in: J. Big Data (2023)
Keyphrases
- manifold learning
- imbalanced data
- dimensionality reduction
- low dimensional
- high dimensional
- semi supervised
- class distribution
- dimension reduction
- random forest
- class imbalance
- feature extraction
- linear regression
- classification models
- ensemble methods
- support vector machine
- high dimensional data
- high dimensionality
- feature selection
- ensemble learning
- sparse representation
- unlabeled data
- labeled data
- principal component analysis
- image processing
- sampling methods
- data sets