Distributed classification based on distances between probability distributions in feature space.
Pablo Montero-MansoLaura Morán-FernándezVerónica Bolón-CanedoJosé Antonio VilarAmparo Alonso-BetanzosPublished in: Inf. Sci. (2019)
Keyphrases
- feature space
- probability distribution
- classification accuracy
- high dimensionality
- feature vectors
- training samples
- training set
- machine learning
- feature selection
- automatic classification
- support vector machine
- dimension reduction
- pattern recognition
- feature extraction
- classification systems
- decision trees
- hyperplane
- classification method
- preprocessing
- pattern classification
- support vector machine svm
- cooperative
- classification scheme
- image classification
- distributed systems
- dissimilarity measure
- neural network
- classification rules
- kernel principal component analysis
- mean shift
- euclidean distance
- random variables
- class labels
- distance function
- benchmark datasets
- similarity search
- image representation
- text classification
- input data
- feature set
- learning algorithm