Since the new Qlik Sense September 2020 update came out, we've experimented quite a lot with its new additions. So, I thought we'd share with you the feature that got us very excited - the advanced analytics capability. Initially, it provides k-means clustering functions to Qlik Sense charts, but more will be added later.
If you're not aware, k-means clustering is a type of unsupervised learning used in machine learning when you have unlabeled data. That’s because the goal of this algorithm is to locate groups within your data, represented by the K variable.
We thought it's really helpful in many situations, so we put together a small read for you with interesting business use-cases for the algorithm. If you wish to check them out and learn a bit more about how the feature works in Qlik Sense, you can do so here: https://b-eye.com/blog/k-means-clustering-with-qlik.
Which algorithm would you like to see Qlik add next?
