Cluster analysis

An exploratory multivariate technique that partitions observations into groups (clusters) such that objects within a cluster are more similar to each other than to those in other clusters. Common algorithms include k-means, hierarchical clustering, and DBSCAN. It is an unsupervised method with no predefined class labels.