Dimensionality Reduction, Pca, Machine Learning, Lda, Curse Of Dimensionality.
the mean squared distance between the original dataset and its projection onto the hyperplane. Note that we use variance as a measure because the variance of the dataset represents the amount of information it contains. PCA finds the axes (i.e. principal components) of the hyperplane that account