Feature space partition: a local-global approach for classification.
Carolina Gil MarcelinoCarlos Eduardo PedreiraPublished in: Neural Comput. Appl. (2022)
Keyphrases
- feature space
- feature vectors
- classification accuracy
- high dimensionality
- training set
- pattern recognition
- training samples
- support vector machine
- feature selection
- benchmark datasets
- feature set
- image classification
- pattern classification
- classification models
- decision trees
- support vector machine svm
- classification scheme
- kernel function
- text classification
- high dimensional
- dimensionality reduction
- principal component analysis
- classification systems
- classification algorithm
- image representation
- data points
- discriminating power
- kernel principal component analysis
- feature extraction
- automatic classification
- preprocessing
- hyperplane
- kernel methods
- mean shift
- class labels
- input data
- machine learning