Cluster Analysis Data Mining – Types, K-Means, Examples, Hierarchical
Cluster Analysis data mining algorithm is used to group data points into clusters or groups. It can be used to perform anomaly detection, market research, customer segmentation, image segmentation, document clustering, and much more. K-means Clustering and Hierarchical clustering are two important types of clustering.