Principal Component, Data Science, Dimensionality Reduction, Machine Learning.
Maths behind Principal Component Analysis The objective of PCA is to reduce dimensionality maximising the information from the original data without taking their class into consideration. PCA reduce dimension projecting the original data into M vectors in which to project the data in order to