Regardless of the kind of study you're conducting or the tasks assigned to your machine learning (ML) algorithms, clustering approaches will be heavily utilized at some point. Since you will frequently be working with datasets that are primarily unstructured and unclassified, at least initially, clustering and data preparation go hand in hand.
Above all, clustering is a simple method for carrying out a wide range of surface-level studies that may help you achieve rapid success in many different disciplines basket random. For example, marketers may easily categorize consumer demographics by running a cluster analysis. Quickly identifying risk factors and locations allows insurers to provide applicants with an initial risk profile.
I agree, it should also be available for Business Plan, not just Enterprise.