Fig 1 - uploaded by Evan BUTRUS Ilia
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Scree plot for showing the contribution of each principal component to total variance (A) and loading plot for showing the relation of each obtained physical characteristics with PC1 and PC2 (B).
Contexts in source publication
Context 1
... correlations among the physical attributes of tested rice were described by PCA and were presented graphically. In fact, PCA was performed to analysis the information consisted of the multivariate data of tested rice with most important information. The eigenvalues and variance percentage are shown in scree plot ( Fig. 1(A)) to recognize the number of principal components to be selected for further study. The first (PC1) and second (PC2) components retained 63.4% and 34.8 % of the total variance, respectively while in total, other principle component (PC3, PC4, PC5 and PC6) obtained below than 1% of total variance. As shown in Fig. 1(B), PC1 was mostly ...
Context 2
... are shown in scree plot ( Fig. 1(A)) to recognize the number of principal components to be selected for further study. The first (PC1) and second (PC2) components retained 63.4% and 34.8 % of the total variance, respectively while in total, other principle component (PC3, PC4, PC5 and PC6) obtained below than 1% of total variance. As shown in Fig. 1(B), PC1 was mostly related with hectoliter, broken ratio and moisture content while PC2 was mostly concerned with hardness and true density (Table ...
Context 3
... to Fig. 1, it can be observed that samples 14 and 15 (Cihan Group and ADM rice from Greece and USA, respectively) have lower hardness than other samples before baking, and sample number 1 (Mania, Indian) has the highest hardness. But in general, after cooking, the hardness of most samples decreases, although with different intensity. In the ...
