Algorithm Research & Explore
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3701-3704

Accurate distributed fuzzy KNN classification algorithm for big data

Zou Jinsong1
Li Fang2
1. School of Putian Big Data Industry, Chongqing Water Resources & Electric Engineering College, Chongqing 402160, China
2. College of Computer Science, Chongqing University, Chongqing 400044, China

Abstract

For research on the efficiency of processing large data sets with K-nearest neighbor(KNN) method, this paper proposed a distributed exact fuzzy-KNN classification algorithm based on Spark framework. The method innovatively combined the Spark framework distributed map and reduce processes with the fuzzy-KNN. Firstly, it processed the training sample category information in different partitions to obtain the class membership degree. It converted the training set into a fuzzy training set with adding membership degrees, and then used the KNN algorithm to calculate the k nearest neighbor of the previously calculated class member test set. Finally, it was classified by distance weight. Experiments on mega-scale dataset samples and comparison experiments with other algorithms show that this method is feasible and effective.

Foundation Support

重庆市教育科学“十三五”规划2017年度重点无经费课题(2017-GX-181)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0373
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3701-3704
Serial Number: 1001-3695(2019)12-038-3701-04

Publish History

[2019-12-05] Printed Article

Cite This Article

邹劲松, 李芳. 大数据下的分布式精确模糊KNN分类算法 [J]. 计算机应用研究, 2019, 36 (12): 3701-3704. (Zou Jinsong, Li Fang. Accurate distributed fuzzy KNN classification algorithm for big data [J]. Application Research of Computers, 2019, 36 (12): 3701-3704. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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