Cluster analysis is a statistical method used to group objects or cases into clusters based on their similarities. The goal is to create clusters where members within each group are more similar to each other than to those in other groups. It’s widely used in market research, biology, social sciences, and machine learning.
For example, a marketing team might use cluster analysis to segment customers into groups based on purchasing behavior, so they can tailor marketing strategies to each group.
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