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This video presents two-dimensional (2D) and three-dimensional (3D) Principal Component Analysis (PCA) biplots of the Iris dataset. PCA is used to reduce dimensionality and reveal the main patterns of variation among morphological traits. The 2D biplot highlights the primary gradients structuring the data, while the 3D biplot provides an ...
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