Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4958305 | Computer Methods and Programs in Biomedicine | 2016 | 8 Pages |
Abstract
The proposed AVNM rule is based on sample space reduction mechanism for identification of an optimal number of nearest neighbor selections. AVNM results in better classification accuracy and minimum error rate as compared with the state-of-art algorithm, KNN, and its variants. The proposed rule automates the selection of nearest neighbor selection and improves classification rate for UCI dataset and manually created dataset.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Ankit Vidyarthi, Namita Mittal,