Computational Thinking, Python, Linear Algebra, Math, Mathematics.
variance. Then the second eigenvector is orthogonal to the first. In our figure above, the blue vector is the second eigenvector so let’s check that it is the one associated with the bigger eigenvalue: eigVals array([0.18047304, 7.98352428]) So yes, the second vector corresponds to the biggest