5 Clustering Algorithms Data Scientists Need To Know - The Key Is Always To Understand The Basic Approach Of Any Algorithm You Want To Use – Fly Spaceships With Your Mind

As a data scientist, you have several basic tools at your disposal, which you can also apply in combination to a data set. More and more complex dependencies are formed. This makes it all the more difficult to recognize these similar properties and to assign the data to so-called clusters in a way that can be evaluated. You have certainly heard of these algorithms and maybe used one or the other, but do you really know what clustering algorithms are? So let's first clarify what these algorithms are in the first place.