Data Science, Machine Learning, Statistics, Artificial Intelligence.
is employed using truncated Singular Value Decomposition (SVD). Principal Component Analysis starts to make sense when the number of measured variables are more than three (3) where visualization of the cloud of the data point is difficult and it is near impossible to get insight from. First: Let’s