Tag: Python PCA

Python PCA – Python Principal Component Analysis

PCA is a statistical technique for converting a set of possibly correlated observations into a set of linearly uncorrelated values. Each of the principal components is chosen to characterise the majority of the remaining variance, and all of the principal components are orthogonal to one another. The first principal component has the most variance of all the principal components.