Summary
In this chapter, we were introduced to machine learning, and supervised and unsupervised methods. We focused on unsupervised methods and covered centroid-based clustering, hierarchical clustering, and association rules.
We completed the application we started in Chapter 4, Creating Your First Qlik Sense Application. We used a simple dataset, but we saw how a clustering algorithm can complement a 100 percent Qlik Sense approach by adding more information.
In the next chapter, we'll cover supervised methods and we'll use decision trees as an example.
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