Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 1
30-33,39

Spectral clustering based on natural nearest neighbor similarity graph

Liu Youchao
Zhang Xihuang
School of Internet of Things Engineering, Jiangnan University, Wuxi Jiangsu 214122, China
DOI: 10.19734/j.issn.1001-3695.2018.06.0460

Abstract

The traditional spectral clustering algorithm cannot often get correct results on complex data sets, and the choice of parameters of affinity matrix construction depends on multiple tests and personal experience. Based on the situation, this paper proposed a spectral clustering algorithm based on natural nearest neighbor similarity graph(NSG-SC). Natural nearest neighbor was a novel concept in terms of nearest neighbor, and it could avoid the disadvantages of K-nearest neighbor and ε-nearest neighbor. They usually needed set parameters artificially effectively. The algorithm constructed an affinity matrix depending on the characteristics of the data sets, and it avoided some adverse effects. It was that inappropriate choice of parameters and isolated points cause them. The algorithm could also reflect better characteristics of data. The results of experiment show that the proposed algorithm named NSG-SC has feasibility and effectiveness.

Foundation Support

江苏省产学研合作项目(BY2015019-30)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.06.0460
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 1
Section: Algorithm Research & Explore
Pages: 30-33,39
Serial Number: 1001-3695(2020)01-006-0030-04

Publish History

[2020-01-05] Printed Article

Cite This Article

刘友超, 张曦煌. 基于自然最近邻相似图的谱聚类 [J]. 计算机应用研究, 2020, 37 (1): 30-33,39. (Liu Youchao, Zhang Xihuang. Spectral clustering based on natural nearest neighbor similarity graph [J]. Application Research of Computers, 2020, 37 (1): 30-33,39. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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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