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 ...

Dimensional variations at different measuring points are usually correlated with each other. The method presented in this case study is based on the use of principal component analysis (PCA) (Yang, ...

In the past, chemicals like asbestos and lead caused widespread harm before their dangers were fully understood. Today, many ...

This year is the centennial anniversary of German psychiatrist Hans Berger's invention of electroencephalography (EEG), a way ...

The 2019–2020 Arab Opinion Index (AOI) offers interesting data on how responsive Arab societies are toward political regimes. Our study used principal component analysis to evaluate trends in public ...