Detecting and Analyzing Clusters

Clustering is a data mining and machine learning technique used to group (cluster) the items of one dimension based on the values of one or more measures. Given the number of distinct dimension items, such as products or customers, and the number of measures describing those items, clustering is a powerful method of exploring data to discover relationships not easily detected with standard reporting and analysis techniques. Power BI Desktop provides built-in support for the creation of clusters and allows them to be managed, revised, and used in Power BI reports like other columns in the semantic model.

In this recipe, a customer cluster is created based on the sales amount, the count of orders, and the count of days since the last purchase. DAX measures are created to support this analysis, and a Scatter Chart visual is created to further analyze the clusters.

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