Eigenvectors, Principal Component, Dimensionality Reduction, Data Science, Unsupervised Learning.
Principal components. 3.The eigenvalue corresponding to each of these eigenvectors will tell us about how much variation in the data has been captured by that particular Principal component. 4. Principal components are orthogonal to each other and are uncorrelated that increases maximum variance.