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“Combined regression and clustering projects are essential components for understanding and analyzing complex data. In this type of project, multiple regression and clustering can be used to analyze data in different ways simultaneously. Let me share my experience with combined regression and clustering projects: I first used linear regression to predict the outcome from a series of variables. As the output was a numeric value, it was a good fit to use linear regression, which is also a common approach in predictive analytics. I then used clustering techniques, including k-means clustering and hierarchical
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