This tool is a machine learning method that groups and labels data using a combination of classification and clustering algorithms. It is intended to automatically find patterns and correlations in data sets, making data analysis more effective and precise.

The algorithm operates by initially comparing and contrasting the data points in the data set. This data is then used to assign labels and establish clusters.

Outliers and abnormalities in the data set can also be found using the method. It can also be used to build predictive models and data visualisations, facilitating better decision-making.

The technique can be applied to both supervised and unsupervised learning problems and is quite effective. The application of the tool is intended for a range of industries, including marketing, finance, healthcare, and engineering.