Contact us
 |
[email protected] |
 |
3275638434 |
 |
 |
| Paper Publishing WeChat |
Useful Links
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Article
Use of Cluster and Factor Analysis for Grouping Bulgarians Honeys according to Botanical Origin
Author(s)
Kr. Nikolova1, E. Pisanova2 and Ir. Ivanova3
Full-Text PDF
XML 796 Views
DOI:10.17265/1548-7709/2017.02.001
Affiliation(s)
1. Department of Physics and Biophysics, Medical University, Marin Drinov 55, Varna, Bulgaria
2. Faculty of Physics, University of Plovdiv “P. Hilendarski”, 24 Tzar Assen Str., Plovdiv, Bulgaria
3. Department of Mathematics, Computer Science and Physics, Agricultural University, 12, Mendeleev blvd., Plovdiv, Bulgaria
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.
KEYWORDS
Honey, color parameters, cluster analysis.
Cite this paper
References