K Means Clustering, Hierarchical Clustering, Machine Learning, Dendrogram, Silhouette Score.
case, let’s assume we start with K = 2. How did we arrive at this value? One crucial concept to consider is the within-cluster sum of squares. The within-cluster sum of squares is a measure of the variability of the observations within each cluster. In general, a cluster that has a small sum of