An Empirical Analysis of Data Reduction Techniques for k-NN Classification.
Stylianos EleftheriadisGeorgios EvangelidisStefanos OugiaroglouPublished in: AIAI (4) (2024)
Keyphrases
- knn
- data reduction
- k nearest neighbour
- k nearest neighbor
- classification algorithm
- classification rules
- feature selection
- nearest neighbor
- classification accuracy
- text classification
- data compression
- instance selection
- web document classification
- nearest neighbour
- support vector machine
- k nearest
- representative subset
- high dimensionality
- text categorization
- preprocessing
- model selection
- pattern recognition
- feature extraction
- decision trees
- document classification
- training set
- data analysis
- rough set theory
- data mining
- nearest neighborhood
- class labels
- naive bayes
- data sets
- voting methods
- learning vector quantization
- nearest neighbor algorithm
- semi supervised learning
- information gain
- singular value decomposition
- decision rules
- genetic programming
- supervised learning
- multi class
- knowledge discovery
- support vector
- machine learning
- neural network