Unsupervised Learning: Evaluating Clusters
K-means clustering is a partitioning approach for unsupervised statistical learning. It is somewhat unlike agglomerative approaches like hierarchical clustering. A partitioning approach starts with all data points and tries to divide them into a fixed number of clusters. K-means is applied to a set of quantitative variables. We fix... Read more