摘要
提出一种改进的谱聚类算法,该算法可处理不同密度的任意形状数据集,并将其作用于一个真实的高等院校人力资源数据库,对教师的现状进行了客观有效的描述,为高等院校人才选拔提供了有益的参考.
We proposed an improved spectral clustering algorithm which is based on basic spectral clustering and can deal with arbitrary shape dataset with different density. The algorithm is applied to an real college human resource database, and objectively and effectively describes the present conditions of teachers. It can provide a useful reference to the talent selection of a college.
出处
《信阳师范学院学报（自然科学版）》
CAS
2010年第4期614-617,共4页
Journal of Xinyang Normal University(Natural Science Edition)
基金
河南省教育厅自然科学基础研究计划项目(2010A520033)
关键词
谱聚类
算法
高等院校
人才
选拔
spectral clustering
algorithm
college
talent
selection
