Data Science, Machine Learning, Algorithms, Predictive Modeling.
Performing PCA on parameters having different scales will lead to insanely large biasing for parameters with high variance. In turn, this will lead to dependence of a principal component on the parameter with high variance. This is undesirable. SAME SCALES. Works best if parameters have a high