Machine Learning, Unsupervised Learning, Data Science, Artificial Intelligence, Clustering.
between observations in different clusters. K-Means requires that we enter the number of groups we want to attempt to optimize prior to running the analysis. Thus, it requires some experimentation if the number of optimal groups is not known, which it usually is not. b. hierarchical clustering: