Associative Graph Data Structures Used for Acceleration of K Nearest Neighbor Classifiers.
Adrian HorzykKrzysztof GoldonPublished in: ICANN (1) (2018)
Keyphrases
- k nearest neighbor
- knn
- graph construction
- data structure
- hierarchical document clustering
- knn classifier
- classification algorithm
- k nearest neighbour
- classification method
- nearest neighbor
- nearest neighbor algorithm
- majority voting
- nearest neighbour
- feature selection
- text categorization
- support vector machine
- support vector
- binary classification tasks
- support vector machine svm
- neural network
- neighborhood graph
- nearest neighbor classification
- training set
- class probability estimation
- training data
- distance function
- semi supervised classification
- directed graph
- knn algorithm
- decision trees
- weighted graph
- bipartite graph
- vowel recognition
- decision boundary
- similarity search
- spanning tree
- range queries
- index structure