We would like the set of points given in the following figure into 1D space. The set of points has been
generated using this instruction [X, y = make_moons(n_samples = 100)], where X are the 2D features
and y are the labels(blue or red).
How to do that while keeping separable data point with linear classification? Give the
mathematics and the full algorithm.
How to apply the SVM algorithm on this data without dimension reduction? Give the
mathematics and full algorithm.