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 ...
Bulletin mathématique de la Société des Sciences Mathématiques de la République Socialiste de Roumanie, Nouvelle Série, Vol. 28 (76), No. 2 (1984), pp. 141-147 (7 pages) ...
Care should be taken when interpreting the results of a principal components analysis. As an aid to interpretation and as a guide to reliability, a range of diagnostic tools have been proposed. This ...
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 ...
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