Modified K-NN algorithm for classification problems with improved accuracy

被引：6
|
作者：
Sahu S.K. [1 ]
Kumar P. [1 ,2 ]
Singh A.P. [1 ,2 ]
机构：
[1] Guru Gobind Singh Indraprastha University, Delhi
[2] USICT, Guru Gobind Singh Indraprastha University, Delhi
来源：
International Journal of Information Technology | 2018年 / 10卷 / 1期
关键词：
K-NN; Learning algorithms; Machine learning; Pattern; Vectors;
D O I：
10.1007/s41870-017-0058-z
中图分类号：
学科分类号：
摘要：
In memory based learning algorithm, K-nearest neighbour method used for classification and clustering problems. Using K-NN algorithm we can define the class of an unknown sample data based on the prior learning of the system. In this paper we will be looking over a classification problem and will present a solution to enhance the accuracy and performance of K-NN algorithm. © 2017, Bharati Vidyapeeth's Institute of Computer Applications and Management.
引用
收藏
页码：65 / 70
页数：5
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