Machine Learning, Data Science, Data Visualisation, Linear Algebra, Math.
point, square it and sum it all together. And we have the Eigenvector. Eigenvalue for PC1 = sum of squares(distance between projected point and median point) Higher the Eigenvector, more the variation captured by that line. Here the Eigenvector for PC1 is greater than the Eigenvector for PC2. So