Ten quick tips for effective dimensionality reduction
Fig 6
(a) A PCA sample projection on the wine dataset shows that, based on their properties, wines tend to cluster in agreement with the grape variety classification: Nebbiolo, Grignolino, and Barbera. (b) A PCA biplot can be used to find which groups of wines tend to have higher levels of which property. Dim1, dimension 1; Dim2, dimension 2; PCA, principal component analysis.