Cluster-based Segmentation

Forming segments using statistical methods (e.g., latent class analysis, k-means cluster analysis, hierarchical cluster analysis and self-organizing maps) which create groups of observations that have similar values on a set of variables (e.g., measurements of attitudes).

See also

• Data Preparation for Cluster-Based Segmentation