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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 7
2007-2010

Algorithm named FCMM to improve K-means clustering algorithm

Yang Mingji
Ma Chi
Wang Ya
Zhang Zhu
School of Measure-Control Technology & Communication Engineering, Harbin University of Science & Technology, Harbin 150080, China
DOI: 10.19734/j.issn.1001-3695.2017.12.0851

Abstract

In order to solve the problem that the K-means algorithm gets affected by the initial cluster centers easily, this paper proposed FCMM algorithm based on firefly intelligence optimization and chaos theory. It used the max-min distance clustering algorithm to calculate the number K of cluster center and determined the location of initial cluster centers. To overcome the problem that initial clustering centers are too close to each other and traditional algorithm falls into local optima easily, this algorthm used Tent mapping to construct a chaotic space with each cluster center as the datum point, and then updated cluster centers through chaotic search. The experimental results show that the average clustering accuracy of the FCMM algorithm than that of the classical K-means algorithm and the FA algorithm is respectively 7.51% and 2.2% higher, the FCMM algorithm avoids falling into the local optimal solution successfully, and improves the efficiency and precision of the initial data set.

Foundation Support

黑龙江省自然科学基金面上资助项目(F201422)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.12.0851
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 7
Section: Algorithm Research & Explore
Pages: 2007-2010
Serial Number: 1001-3695(2019)07-020-2007-04

Publish History

[2019-07-05] Printed Article

Cite This Article

杨明极, 马池, 王娅, 等. 一种改进K-means聚类的FCMM算法 [J]. 计算机应用研究, 2019, 36 (7): 2007-2010. (Yang Mingji, Ma Chi, Wang Ya, et al. Algorithm named FCMM to improve K-means clustering algorithm [J]. Application Research of Computers, 2019, 36 (7): 2007-2010. )

About the Journal

  • 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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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