Title: K-means clustering method based on artificial immune system in scientific research project management in universities

Authors: Yanmin Zhao; Shuai Chen; Tinggui Chen

Addresses: Scientific Research Department, Zhejiang Gongshang University, Hangzhou, 310018, China ' Department of Information Technology, Zhejiang Yuying Collage of Vocational Technology, Hangzhou, 310018, China ' College of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou, 310018, China

Abstract: In order to solve the data analysis problem in scientific research management universities, this paper puts forward a K-means clustering method based on artificial immune system. Firstly, the hidden rules and knowledge in the scientific data are found out in order to provide decision opinion for the development of education and scientific research. And then, the key research domain and creative characteristics of the subject can be obtained. Finally, the simulation results show that the method is feasible and effective.

Keywords: K-means clustering method; artificial immune system; scientific research project management.

DOI: 10.1504/IJCSM.2017.083746

International Journal of Computing Science and Mathematics, 2017 Vol.8 No.2, pp.129 - 137

Received: 11 Jun 2016
Accepted: 02 Sep 2016
Published online: 21 Apr 2017 *

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