Stefan Franczuk explains the different categories of machine learning algorithms available in Talend:
Clustering is the task of grouping together a set of objects in such a way, that objects in the same group are more similar to each other than to those in other groups. Clustering is really useful for identify separate groups and therefore is used to solve use cases such as “who are my premium customers?”.
Understanding when to use which algorithm is important. You don’t want to build out the world’s best regression if your benefactors are asking for a classifier.