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 ...

A good way to see where this article is headed is to take a look at the screen shot of a demo program shown in Figure 1. The demo sets up a dummy dataset of six items: [ 5.1 3.5 1.4 0.2] [ 5.4 3.9 1.7 ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 32, No. 3 (1983), pp. 267-275 (9 pages) In applying principal components for reducing the dimension of the data before ...