Machine Learning Algorithms

Clustering basics

Let's consider a dataset of points:

We assume that it's possible to find a criterion (not unique) so that each sample can be associated with a specific group:

Conventionally, each group is called a cluster and the process of finding the function G is called clustering. Right now, we are not imposing any restriction on the clusters; however, as our approach is unsupervised, there should be a similarity criterion to join some elements and separate other ones. Different clustering algorithms are based on alternative strategies ...