EE<i>k</i>NN: <i>k</i>-Nearest Neighbor Classifier with an Evidential Editing Procedure for Training Samples

EE<i>k</i>NN: <i>k</i>-Nearest Neighbor Classifier with an Evidential Editing Procedure for Training Samples

The <i>k</i>-nearest neighbor (<i>k</i>NN) rule is one of the most popular classification algorithms applied in many fields because it is very simple to understand and easy to design. However, one of the major problems encountered in using the <i>k</i>NN rule is t...

Full description

Bibliographic Details
Main Authors: Lianmeng Jiao, Xiaojiao Geng, Quan Pan
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Electronics
Subjects:
pattern classification
k-nearest-neighbor classifier
fuzzy editing
evidential editing
belief function theory
Online Access:https://www.mdpi.com/2079-9292/8/5/592

Internet

https://www.mdpi.com/2079-9292/8/5/592

Similar Items