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 ...

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 ...

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 ...

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 ...

The 3D visualisation laboratory has three scanners for digitising large-scale objects and specimens sized from 2cm to 3m. The 3D lab houses an Alicona InfiniteFocus focal variation microscope for ...

The Global Report, UNHCR’s annual results publication, presents the work carried out by UNHCR in 2023 to protect and improve the lives of the millions of people under UNHCR’s mandate – refugees and ...

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.

This journal utilises an Online Peer Review Service (OPRS) for submissions. By clicking "Continue" you will be taken to our partner site http://mc.manuscriptcentral ...

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