A collection of algorithm implementations that allows you to step through the algorithms and visualize what they do.
The KMeans class expects some x and y values as well as the initial mean values, or a k. With the step or show_step methods you can step through the fitting algorithm. The x_means and y_means attributes will hold the x and y coordinates of the cluster means. show_step will return a scatter plot which visualizes how the cluster means moved.
