Machine Learning, Unsupervised Learning, Clustering, K Means.
matched to neighboring clusters. A score of 0 indicates that the object is on or very close to the decision boundary between two neighboring clusters. In this example, the best silhouette score appears to be around 0.51, when the number of clusters is 2. But we will use K=5 for this case because I