摘要
目的:探讨系统聚类分析方法在食物营养学价值评价中的意义。方法:选取北方常见的20种食物,根据其8种主要营养素含量进行分层聚类分析。结果:依据欧氏距离平方和的大小确定食物间的相似性,通过分析距离测度值的变化将20种食物大体分为4类。结论:聚类分析可用来综合评价食物营养学特征,并将其合理归类。
Objective： To investigate the significance of systematic cluster analysis in classification of nutritive value in foods. Methods： After selecting 20 normal foods in northern China, 8 nutrients were examined with hierarchical cluster analysis. Results： The 20 foods could be divided into 4 categories by squared Eudlidean distance. Conclusion： The cluster analysis can reveal the characteristics of nutritive value, and classify it into different categories reasonably.
出处
《河北北方学院学报（医学版）》
2006年第1期10-13,共4页
Journal of Hebei North University:Medical Edition
关键词
食物
营养素
聚类分析
Foods
Nutrients
Cluster analysis
