RHC: a non-parametric cluster-based data reduction for efficient k-NN classification.
Stefanos OugiaroglouGeorgios EvangelidisPublished in: Pattern Anal. Appl. (2016)
Keyphrases
- knn
- data reduction
- k nearest neighbour
- k nearest neighbor
- classification algorithm
- nearest neighbor
- feature selection
- classification accuracy
- classification rules
- instance selection
- text classification
- data compression
- nearest neighbour
- web document classification
- support vector machine
- representative subset
- high dimensionality
- preprocessing
- text categorization
- model selection
- data mining
- decision trees
- distance function
- document classification
- support vector
- knowledge discovery
- nearest neighbor algorithm
- training set
- data analysis
- k nearest
- machine learning
- neural network
- nearest neighborhood
- pattern recognition
- feature vectors
- feature extraction
- clustering algorithm
- real world