Machine Learning, Data Science, NLP, Dimensionality Reduction, Pca.
first Principal Component is one that explains the most variance in the data. In figure (B), we see that by drawing the line “Component 1”, it is able to retain the information of the most dispersed points of data. And by adding the line “Component 2”, this “Component 2” line explains the second