<p>a) Scree plot showing the proportion of variance explained by each PC. b) PCA based on the leading two PC’s. Entries belonging to each morphological group marked by a different color (red: group 1, blue: group 2, green: group 3).</p
<p>Red circles—cases; blue squares—controls. The groups are visually separable, although there is st...
<p>(<b>A</b>) Contribution of each residue to the first three principal components (reference struct...
Each symbol represents an individual. (a) Shows the population structure of investigated major regio...
<p>(a) Hierarchical clustering analysis plot. The height represents the Euclidean distance; (b) Prin...
<p>Each PCA vector represents a specific combination of the 1656 chemical descriptors. The three mos...
<p>(A) Histogram of eigenvalues, (B) Principal Component Analysis (PCA) plot of factor loadings in t...
<p>Principal Component Analysis of Fourier coefficients: scatter plots of PC1 versus PC2 and PC2 ver...
Scree plot of different principal components in PCA using quantitative and qualitative traits.</p
<p>Scree plot of PCA involving the AQ (total result) and FCB-TI and EAS-TS PCA, and critical values ...
<p>(A) scatter plot shows genetic patterns of SNP data. The scree plots of eigenvalues (inset) indic...
<p>Scatter plot of individuals, showing the first two principal components. Each symbol corresponds ...
<p>Different colours represent different populations, called a, b, c. The a, b, c, symbols indicate ...
(a) Scatter plot of PC1 vs. PC2. Accessions are color-coded according to the groups identified by th...
<p>The number of principal components (PCs) is on the x-axis and the associated eigenvalues–which in...
<p>PCA ordination plot based on vegetation composition showing three distinct clusters (proportion v...
<p>Red circles—cases; blue squares—controls. The groups are visually separable, although there is st...
<p>(<b>A</b>) Contribution of each residue to the first three principal components (reference struct...
Each symbol represents an individual. (a) Shows the population structure of investigated major regio...
<p>(a) Hierarchical clustering analysis plot. The height represents the Euclidean distance; (b) Prin...
<p>Each PCA vector represents a specific combination of the 1656 chemical descriptors. The three mos...
<p>(A) Histogram of eigenvalues, (B) Principal Component Analysis (PCA) plot of factor loadings in t...
<p>Principal Component Analysis of Fourier coefficients: scatter plots of PC1 versus PC2 and PC2 ver...
Scree plot of different principal components in PCA using quantitative and qualitative traits.</p
<p>Scree plot of PCA involving the AQ (total result) and FCB-TI and EAS-TS PCA, and critical values ...
<p>(A) scatter plot shows genetic patterns of SNP data. The scree plots of eigenvalues (inset) indic...
<p>Scatter plot of individuals, showing the first two principal components. Each symbol corresponds ...
<p>Different colours represent different populations, called a, b, c. The a, b, c, symbols indicate ...
(a) Scatter plot of PC1 vs. PC2. Accessions are color-coded according to the groups identified by th...
<p>The number of principal components (PCs) is on the x-axis and the associated eigenvalues–which in...
<p>PCA ordination plot based on vegetation composition showing three distinct clusters (proportion v...
<p>Red circles—cases; blue squares—controls. The groups are visually separable, although there is st...
<p>(<b>A</b>) Contribution of each residue to the first three principal components (reference struct...
Each symbol represents an individual. (a) Shows the population structure of investigated major regio...