Dillon and Goldstein (1984) provide the following formal definition of principal components analysis (PCA): Principal components analysis transforms the original set of variables into a smaller set of ...

Principal component analysis (PCA) is a mathematical algorithm that reduces the dimensionality of the data while retaining most of the variation in the data set 1. It accomplishes this reduction ...

The purpose of principal component analysis is to derive a small number of independent linear combinations (principal components) of a set of variables that retain as much of the information in the ...

Using an analysis tool called PIX, the researchers both stored the display data and extracted the corresponding 3D map of the pitch, players, ball, and stadium. To generate 3D video of a 2D ...

One of the side effects of the rise of 3D printers has been the increased availability and low cost of 3D printer components, which are use fill for range of applications. [How To Mechatronics ...

Pharmacological treatment for attention deficit hyperactivity disorder, although highly effective, presents a marked variability in clinical response, optimal dosage needed and tolerability ...

More affordable than ever, 3D printers are booming for personal, professional, and educational use. Here's everything to know before you buy one, along with the top models from our hands-on testing.

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