Eigenvectors, Principal Component, Dimensionality Reduction, Data Science, Unsupervised Learning.
the revolution of Big data. The datasets that we would deal with will have extremely high dimensions. The dimensions could go up to thousands or more which makes it challenging to visualize and analyze each of the features. Having such an enormous number of features can often lead to errors like