Eigenvectors, Principal Component, Dimensionality Reduction, Data Science, Unsupervised Learning.
variation captured by the Principal Components 1. Variation for PC1=Sum of squared distances or the Eigenvalue for PC1/n-1 2. Variation for PC2=Sum of squared distances or the Eigenvalue for PC2/n-1 For Example, Consider the variation captured by PC1 is 20 and the variation captured by PC2 is 3