Categorizing the feature space for two-class imbalance learning.
Rosa SiciliaErmanno CordelliPaolo SodaPublished in: ICPR (2020)
Keyphrases
- feature space
- high dimensionality
- input space
- principal component analysis
- mean shift
- feature selection
- feature vectors
- data points
- feature extraction
- kernel function
- training set
- high dimensional
- classification accuracy
- dimensionality reduction
- text categorization
- hyperplane
- low dimensional
- support vector machine
- feature set
- kernel methods
- feature subset
- learning algorithm
- data sets