Python, Machine Learning, Clustering, K Means, Sklearn.
clusters) and measure the sum of squared distances (SSE) between the points and their closest cluster center. The SSE value is then plotted against the number of clusters, creating an “elbow” shape. The optimal number of clusters is chosen at the point where the SSE begins to decrease at a slower