SIA-SMOTE: A SMOTE-Based Oversampling Method with Better Interpolation on High-Dimensional Data by Using a Siamese Network.
Rahmat Izwan HerozaJohn Q. GanHaider RazaPublished in: IWANN (1) (2023)
Keyphrases
- high dimensional data
- nearest neighbor
- clustering method
- data sets
- subspace clustering
- linear regression
- input data
- regression problems
- class distribution
- dimension reduction
- high dimensionality
- linear discriminant analysis
- missing values
- support vector machine svm
- low dimensional
- dimensionality reduction
- support vector machine
- data analysis
- pattern recognition
- neural network