Machine Learning, Data Science, Algorithms, Dimensionality Reduction, Cheatsheet.
of the main algorithms. Dimensionality reduction algorithms represent techniques that reduce the number of features (not samples) in a dataset. In the example below the task is to reduce the number of input features (unroll swissroll from 3D to 2D) and save the largest ratio of information at the