Examine the scatter plot of the first two principal components shown in Figure 19.6. Each marker on the plot represents two principal component scores. The output component scores are a linear ...

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 ...