其他论文-2
其他论文-2
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DOI：
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发表时间：
2017
影响因子：
0.8
通讯作者：
陈庭贵
中科院分区：
文献类型：
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作者：
赵延敏;陈帅;陈庭贵
为了解决科研管理类高校数据分析问题，提出了一种基于人工免疫系统的K-均值聚类方法。首先，找出科学数据中隐藏的规律和知识，为教育和科研的发展提供决策意见。从而得出本课题的重点研究领域和创新特点。仿真结果表明了该方法的可行性和有效性。
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.