| Autor: |
Bodroža-Solarov, Marija I., Latković, Dragana S., Berenji, Janoš J., Brlek, Tea I., Nićin, Slobodan Đ., Vučković, Jovana N. |
| Jazyk: |
angličtina |
| Rok vydání: |
2011 |
| Předmět: |
|
| Zdroj: |
Food and Feed Research (2011) 38(2):69-74 |
| ISSN: |
2217-5369 |
| Popis: |
Principal component analysis (PCA) was used to investigate the classification of mineral component of nine different cultivars of buckwheat grain. This research showed that copper (-0.92) and iron (-0.90) contributed mostly to the first principal component whereas calcium (-0.86) to the second one. The total variability explained by the first component was around 53.2%, while by the second component it was 24.1%, which means that those two dimensions together accounted for around 77.3% of total variability of the observed set of variables. Principal component analysis (PCA) of the data set was able to distinguish different minerals and cultivars as well. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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