I would appreciate the help in python pls. The assignment is to write a Python program that will read in a set of 2D (x, y) points and, using a distance-based criterion, assign each point to a cluster. The criterion for deciding whether any two points belong to the same cluster is whether the distance between them is below some predefined threshhold value. An algorithm for identifying clusters in a for a set of points is below. Hope that helps!

example right here

Algorithm 1: Clusterization of 2D Point Scatters Input: A list of points; each point has an (x,y) position and a cluster index point's cluster index indicating which cluster it belongs to 1 of 3 sign the value i to the cluster index of point i announce all points remain unclustered while any points remain unclustered announce no unclustered points remain for i i and j where is replaced with the thresh hold value to 2 decimal places, is the number of clusters, and imagename> is re- placed with the name of the output image file containing the plot. 5. Your program must make only the following imports: fron math import art from engr 131.plot_nodule import make_scatter plot Your are not allowed to make any other imports! 200 100 3 50 50 0 * y y 0 > -50 -50 -100 -100 -100 FOM 56 200 -100 so 100 Figure 1: (Left) An example scatter plot of 20 points. (Right) The same set of points with clusters identified<><>