摘要
运用主成分聚类分析法对贵州农业产业化龙头企业进行综合评价并分类.构建贵州农业产业化龙头企业评价指标体系,利用主成分分析能够剔除多指标间存在相关性及信息重叠的特点,对贵州农业产化龙头企业综合实力进行评价,再利用新得到具有代表性的综合主成分指标代替原来较多的评价指标,对贵州龙头企业进行聚类分析.所得结论与现实相符合,为发展贵州龙头企业提供参考依据。
A synthetic method of principal component analysis（PCA） and cluster analysis is presented to evaluate and classify the agricultural integration leading enterprise in Guizhou. The evaluation indexes system was established, and PCA was used to draw the comprehensive evaluation because it can eliminate the correlation and information overlaps lying in multi-indexes. Cluster analysis was used to classify these regions into several categories according to the new indexes obtained from PCA. The resuits show that this method can simplify the original complicated problem and lead to an objective, reliable and convincing conclusion.
出处
《贵州大学学报（自然科学版）》
2008年第1期33-36,共4页
Journal of Guizhou University:Natural Sciences
基金
国家自然科学基金项目(70462001)
关键词
农业产业化
龙头企业
主成分分析
聚类分析
agricultural industrialization
leading enterprises
factor analysis
cluster analysis
