Published article "MQL5 Wizard Techniques you should know (Part 09): Pairing K-Means Clustering with Fractal Waves".
K-Means clustering takes the approach to grouping data points as a process that’s initially focused on the macro view of a data set that uses random generated cluster centroids before zooming in and adjusting these centroids to accurately represent the data set. We will look at this and exploit a few of its use cases.