Machine Learning, Data Science, Dimensionality Reduction, Intuition, Linear Algebra.
that the variance along x is the average squared deviations of the x coordinates from their mean. But since the mean is zero, it’ll be: But that’s exactly the dot product of vector x with itself, or, equivalently, its squared length: Where I have intentionally ignored the factor 1/3 to make things