(a) Scree plot. (b) Loading plot. (c) Dendrogram. (d) Score plot of observations across study areas. Through principal component and cluster analysis, the team examined data from topography, climate, ...

PCA is an important tool for dimensionality reduction in data science and to compute grasp poses for robotic manipulation from point cloud data. PCA can also directly used within a larger machine ...

The study of elemental composition in both coffee and its corresponding soils is pivotal for determining geographical origin, ensuring product authenticity, and assessing potential health impacts.

The objective of this study was to identify dietary patterns in a cohort of 7-year-old children through cluster analysis, compare with patterns derived by principal components analysis (PCA), and ...