classification with k-means

The objective of this assignment is to present the use of scikit-learn functionalities concerning automatic classification with k-means, as well as to contribute to a better understanding of this method and the impact on the results of the data distribution or initialization technique (random initialization or k-means++). For this, data generated in a controlled manner are first examined and then real data seen in progress, with or without pre-processing to reinforce the separation between groups.