Python, Machine Learning, Clustering, K Means, Sklearn.
below. We also determined 2 as the number of K clusters. First, let’s place the 2 centroids in random places. Random centroids. Image by the author. Then, we calculate Euclidian distances for each point and assign labels. Assign labels. Image by the author. Calculate the new center of each cluster