Data Science, Machine Learning, Technology, Data, Dimensionality Reduction.
captures our data’s variance far better than the original orthogonal basis. Now the question is which orthogonal direction to delete in order to reduce the dimensionality. We want to remove the one that has the least variance, which is equal to the sum of the average squared difference from the