Eigenvectors, Principal Component, Dimensionality Reduction, Data Science, Unsupervised Learning.
Total Variation=20+3=23 Percentage of variation captured by PC1=20/23=0.869=86.9% Percentage of variation captured by PC2=3/23=0.130=13% Principal Component 1 has captured a maximum variation of 86.9%. With the help of just the first principal component, we were able to describe 86.9% variation in