Schematic representation of the workflow. From left to right: The dataset was preprocessed by removing low-quality data and applying robust scaling, and then the SOM was trained on the preprocessed dataset. After this, the K-Means algorithm was applied to the SOM’s nodes to identify distinct clusters within the solar wind data. Solar wind data series are colored according to the cluster we identify.