Learning K-Means Clustering: Using the Elbow Method in R to Determine the Optimal Number of Clusters
One of the most common clustering algorithms used in is known as k-means clustering. K-means clustering is a technique in which we place each observation in a dataset into one of K clusters. The end goal is to have K clusters in which the observations within each cluster are quite similar to each other while the observations […]