Eigenvectors, Principal Component, Dimensionality Reduction, Data Science, Unsupervised Learning.
which is ¼ (slope=y/x) which means for every 4 units of x, y changes by 1 unit. This means the data for principal component 1 is mostly spread out on the X-axis. Blue arrow refers to the unit vector of PC1, Source: Image by Author From the Pythagorean’s theorem we have c²+b²=a² (1*1 )+(4*4)=a²