Different Clustering techniques make diverse assumptions around the structure of your data, often defined by some similarity metric and evaluated, for example, by interior compactness, or the similarity involving users of the same cluster, and separation, the difference between clusters. Other techniques are based upon believed density and graph connectivity. https://www.fionapremium.com/author/nicolasprob/