摘要
介绍主成分分析法及其在学术期刊综合评价中的应用成果,概述主成分分析法的研究进展,认为运用主成分分析法评价学术期刊既有其优点也存在不足。学术界给出克服不足的方案有:确定权重后,结合专家给的权重,在定量的基础上,再做定性研究;基于样本的非线性主成分评价模型——核主成分分析法;回归调整方法等。
The paper introduces principal component analysis and its application achievements in academic journal comprehensive evaluation,summarizes research progresses of principal component analysis,and considers using principal component analysis to evaluate academic journal has advantages and weaknesses.The academia gives solutions to overcome weakness：after confirming weight,combining with the weights that expert granting,doing qualitative research on the basis of quantitative analysis;sample-based nonlinear principal component evaluation model-kernel principal component analysis;regression adjustment.
出处
《情报探索》
2014年第10期30-32,共3页
Information Research
基金
中央高校基本科研业务费专项资金资助"基于数据挖掘的预测决策算法研究及统计分析系统研制"(项目编号:21610415)成果之一
关键词
学术期刊
综合评价
主成分分析法
academic journal
comprehensive evaluation
principal component analysis
