Eigenvectors, Principal Component, Dimensionality Reduction, Data Science, Unsupervised Learning.
overfitting in the models. It also makes it harder to design regression models as the weights can tend to be highly unstable due to multicollinearity arising from high dimensions. This problem is termed as the ‘Curse of the dimensionality’ where we see an increase of error with the exponential