Eigenvectors, Principal Component, Dimensionality Reduction, Data Science, Unsupervised Learning.
understand these let’s get back to the first random line Working: 1. PCA projects data points onto the line and it calculates the distance. 2. The distance can be calculated either by the distance between the point and line or it can calculate the distance from the origin and the projected point.