Elbow detection for clustering using splines

Among the methods offered by machine learning and artificial intelligence, clustering methods are among the most interesting. These methods belong to the class of unsupervised methods, and as such do not suffer from bias or presuppositions, since they do not seek to learn a known rule, but rather to identify unknown links. Their appeal, therefore, lies in their ability to make sense of data whose volume and/or cardinality exceed the processing capabilities of a human. There are in the field of artificial intelligence, two major classes of methods: the supervised approach and the unsupervised approach. They are distinguished by the form of the problem that is submitted to machine learning.