K-means clustering method based on artificial immune system in scientific research project management in universities
by Yanmin Zhao; Shuai Chen; Tinggui Chen
International Journal of Computing Science and Mathematics (IJCSM), Vol. 8, No. 2, 2017

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.

Online publication date: Fri, 21-Apr-2017

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