Eigenvectors, Principal Component, Dimensionality Reduction, Data Science, Unsupervised Learning.
and is orthogonal to Principal component 1 without any further optimization. Since this a 2-D graph we can visualize the PC2 Source: Image by Author 2. As The slope of PC1 was 0.25 the slope of PC2 will be -0.25. 3. When we scale to get the unit vector of PC2 it will contain -0.24 parts of Maths