Clustering is a statistical process used to group “similar” data points together within a dataset. This process is similar in nature to classification, where similar data points are grouped together and then assigned a specific label (eg; dogs or cats). However, clustering is different in the sense that the distinct groups are not given any labels. They are simply referred to as Cluster 1, Cluster 2, Cluster 3, etc.

Clustering methods discussed on this page:

• K-Means Clustering
• Hierarchical Clustering