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Cluster analysis is a method used to group data points that are similar to each other into clusters. It helps to identify patterns and organize data into meaningful segments.
In data management and digital marketing, cluster analysis is commonly used to segment customers based on shared characteristics, such as demographics or purchasing behavior. This allows businesses to target each group more effectively.
A retail company might use cluster analysis to divide its customers into segments based on buying habits, such as frequent shoppers, seasonal buyers, and occasional buyers. The company can then create specific marketing campaigns for each group to increase sales.

AI, automation and data science are reshaping the tech industry. In this interview, Google Solutions...

Christelle has a PhD in genetics. In April 2024, she did Le Wagon's Data Science...

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