基于k-means聚类算法的高校人才评价分析——以泸州职业技术学院为例  

The Analysis of Talent Evaluation in Colleges and Universities Based on K-means Clustering Algorithm——Taking Luzhou Vocational and Technical College as an Example

作　　者：夏汛[1] XIA Xun(Luzhou Vocational&Technical College,Luzhou Sichuan 646005)

机构地区：[1]泸州职业技术学院

出　　处：《数字技术与应用》2019年第12期98-99,共2页Digital Technology & Application

摘　　要：科研水平是衡量高校发展的一个重要指标,科研对高校的意义和深远价值不言而喻。本文以泸州职业技术学院为例,通过获取泸州职业技术学院的科研论文和科研数据,经过权重设置,归一化处理后,运用k-means聚类算法,分析出整个学院的科研全貌,从而为领导的各项决策提供数据支撑。The level of scientific research is an important indicator to measure the development of colleges and universities. The significance and far-reaching value of scientific research to colleges and universities are self-evident. This paper takes Luzhou vocational and Technical College as an example, through obtaining the scientific research papers and data of Luzhou vocational and technical college, after weight setting and normalization processing, using k-means clustering algorithm, analyzes the scientific research panorama of the whole college, so as to provide data support for leaders’ decisions.

关 键 词：科研 K-MEANS 聚类算法 

分 类 号：F239.1[经济管理—会计学]