Image Processing, Data Visualization, Data Science, Python, Linear Algebra.
plotted above gives us the information retained in each PC. Notice that the last PCs eigenvalues are small and less significant, this is where dimensionality reduction comes into play. If we choose to keep the first three relevant components that retain 93% information then the final data can be