抽象的

K-Nearest Neighbour Algorithm

Katharotiya Grasmit*, Makadiya Akshay

The k-Nearest Neighbor (kNN) rule is a classical non-parametric classification algorithm in pattern recognition, and has been widely used in many fields due to its simplicity, effectiveness and intuitiveness. However, the classification performance of the kNN algorithm suffers from the choice of a fixed and single value of k for all queries in the search stage and the use of simple majority voting rule in the decision stage.