Now let’s hear from our industry experts regarding the comparison between the K-Means algorithm and the Hierarchical clustering algorithm, before learning how to choose between the two based on your business problem.
So, you learnt that whether you use k-means or hierarchical clustering algorithm depends on your hardware and the data that you are dealing with.
Now, you will look at a good statistical hack to solve segmentation problems so that you get meaningful segments, where you will use both hierarchical and k-means algorithms to complement each other.
These insights were really helpful. You looked at how these clustering methods can be used to complement each other. You also looked at the differences between these methods, and the cases where you would prefer one method over the other.