摘要
针对当前应用聚类分析直接从现成指标入手的现状,指出了其局限性.应用多元统计分析,首先对初步建立的分类指标中关联性大的指标进行优化整合,得到一组更为科学合理的分类指标,再进行模糊聚类分析,聚类结果证明此思路是正确的.
The limitation of applying the cluster analysis with ready-made index is put forward according to the current condition .Applying multivariate analysis, the ready-made index with close connection is firstly optimized .Then fuzziness cluster analysis is proceeded with the more reasonable indexes which has been acquired from the optimized ones. The result shows that the direction of thought is right.
出处
《陕西师范大学学报(自然科学版)》
CAS
CSCD
北大核心
2004年第S1期185-187,共3页
Journal of Shaanxi Normal University:Natural Science Edition
关键词
模糊数学
多元统计分析
指标
聚类分析
fuzzy mathematics
multivariate analysis
index
cluster analysis