Analysis of crimes in Mexico during 2017 with Machine Learning techniques (Cluster Analysis)…

K-Means Algorithm seeks to find K number of clusters in a data set. This clusters have to be apart as they can be from each other and keep their elements as closely as possible. Cluster analysis is ideal to find patterns, client segmentation, and in our case, to find any similitude. However, the question is always the same: what is the K numbers that makes the number of clusters optimal?