Towards Heterogeneous Similarity Function Learning for the k-Nearest Neighbors Classification.
Karol GrudzinskiPublished in: ICAISC (2008)
Keyphrases
- k nearest neighbor
- similarity function
- knn classification
- knn
- classification algorithm
- classification method
- nearest neighbor
- distance function
- supervised learning
- learning algorithm
- decision trees
- learning tasks
- nearest neighbor rule
- learning problems
- knn classifier
- feature selection
- support vector machine
- classification accuracy
- pattern recognition
- machine learning
- kernel methods
- feature extraction