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What is Two-Step Cluster Analysis Overview about?

Cluster analysis is a technique used to group large datasets into meaningful subgroups or clusters with similar characteristics. It involves reducing dimensionality to identify natural groupings, dealing with outliers, and using hierarchical or nonhierarchical clustering methods. The goal is to maximize similarity within clusters and dissimilarity between clusters. This unsupervised learning method is useful for market segmentation in marketing.

Author

Aishatu Musa Abba

Language

EN