Data Science, Machine Learning, Statistics, Artificial Intelligence.
Analysis itself. Intuition: The purpose of PCA is to find that candidate axis with the maximum of sum of squared distances between the projected point of the fitted line and the origin, J(phi). Mathematics: Let’s recall the objective function to be optimized and the span of the candidate axis.