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In the past few years, I have had the privilege of getting the opportunity to work with some of the top tier analytics teams in the world, who have been using cluster analysis in their data-driven business strategy for a few years now. Cluster analysis is a technique that helps in identifying groups in a dataset that are highly correlated with each other, regardless of their data’s specific features. The clusters are formed by grouping the data according to the similarity of their features. It’s an excellent methodology that’s used to understand and model complex data

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A cluster analysis is a statistical method used to group objects into categories based on similarity. It is useful in fields such as marketing, psychology, and sociology. It involves selecting a few attributes or characteristics from your sample that best reflect your data. Based on these characteristics, you can then group your objects or data points into clusters. This method is often used for finding similarities or differences among objects, such as determining similar items in a bookstore. You can do a cluster analysis for free on various websites or software like Minitab, SPSS,