Finding the optimal number of clusters (k) using Elbow Method
he elbow method is a technique used to find the optimal number of clusters (k) in a dataset for a clustering algorithm, such as k-means. The idea is to run the clustering algorithm for different values of k and plot the sum of squared distances (inertia) between data points and their assigned cluster centroids. The…