Given the drawbacks of implementing multivariate analysis for mapping multiple traits in genome-wide association study (GWAS), principal component analysis (PCA) has been widely used to generate ...

The Annals of Mathematical Statistics, Vol. 27, No. 3 (Sep., 1956), pp. 737-748 (12 pages) The sampling variance of the least squares estimates of the components of variance in an unbalanced ...

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 ...