K mean is implemented using dictionaries. The project contains two code files. The first code, k_points.py, is for the simple k mean clustering applied on few random points. The second code file named k_baboon.py contains k mean clustering code for clustering the famous baboon image into 3,4 and 5 clusters respectively.
