Use of Cluster and Factor Analysis for Grouping Bulgarians Honeys according to Botanical Origin

K. Nikolova, E. Pisanova, I. Ivanova
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引用次数: 1

Abstract

Fourteen samples from acacia (Robinia pseudoacacia), lime(Tilia sp.), sunflower (Helianthus annuus), thistle (Onopordum acanthium), forest and honeydew honeys have been characterized according to their parameters of mineral and sugar content, color characteristics and refractive index. The samples have been grouped in two clusters–monofloral lime honey and monofloral acacia honey on the basis of the investigated characteristics by cluster analysis. The honey samples from sunflower and honey from Onopordum acanthium are incorrectly classified according to their botanical origin as lime honey while the honeydew and lime honey are determined correctly. By applying factor analysis the investigated indicators reduced to 6 factors explained 91.55 % from the entire variation. The parameters with the highest factor weight influence on the distribution of honey in clusters.
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聚类分析和因子分析在保加利亚蜂蜜植物起源分类中的应用
根据金合欢(Robinia pseudoacia)、青柠(Tilia sp.)、向日葵(Helianthus annuus)、蓟(Onopordum acanthium)、森林和蜜露的矿物和糖含量、颜色特征和折射率等参数,对14个样品进行了表征。根据聚类分析研究的特征,将样品分为两类——单花酸橙蜂蜜和单花阿拉伯树胶蜂蜜。向日葵的蜂蜜样品和棘皮蛙的蜂蜜根据其植物来源被错误地归类为酸橙蜂蜜,而蜜露和酸橙蜂蜜的测定是正确的。通过因子分析,调查指标减少到6个因子,解释了整个变异的91.55%。因子权重最高的参数影响蜂蜜的聚类分布。
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