A new locally adaptive K-nearest centroid neighbor classification based on the average distance
The classification performance of a k-nearest neighbour (KNN) method is dependent on the choice of the k neighbours of a query. However, it is difficult to optimise the performance of KNN by choosing appropriate neighbours and an appropriate value of k. Moreover, the performance of KNN suffers from...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor and Francis Ltd.
2022
|
Subjects: | |
Online Access: | View Fulltext in Publisher |