| 摘 要: 针对目前的科研项目管理信息系统仅对科研项目进行低水平管理，无法区分、甄别科研内容等问题，对 k-means聚类分析技术进行改进，并进一步将该项技术应用于科研立项管理中，通过对科研立项申报书进行聚类分析， 得出立项申请中相似的项目和创新的项目，为科研立项提供智能型的决策支持，避免了重复立项和重复研究，使得计算 机应用技术更好地服务于科研项目管理。 |
| 关键词: 聚类分析；k-means聚类算法；科研项目管理 |
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中图分类号: TP391
文献标识码: A
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| 基金项目: 中国人民解放军海军大连舰艇学院2015年学院科研发展基金资助项目(DJYKYKT2015-03). |
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| The Research and Application of the Scientific Research Project Management Based on the Improve of Clustering Algorithm |
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JIANG Dan，ZHANG Xiaowen，ZHOU Li
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( Dept.of Basic Science, Dalian Naval Academy, Dalian 116018, China)
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| Abstract: For current low-level management of scientific research project information and incapability to distinguish or identify the contents of research projects,the paper improves the k-means clustering analysis technique,and further applies this technique into research project initialization management.Through clustering analysis of research project initialization declaration documents,decision-makers can find out the repetitive studies and the innovative projects.It intelligently supports the decision-making in project initialization by avoiding repetitive projects and studies,and makes it possible for computer application technology to better serve scientific research project management. |
| Keywords: clustering analysis;k-means clustering algorithm;scientific research project management |
