👉 Spheterization is a technique used in machine learning and data analysis to visualize and understand complex relationships between variables. It involves clustering similar values together into clusters, which can then be visualized as concentric circles or ellipses, with each circle representing a variable or feature. In the context of machine learning, spheterization is often used to identify patterns and trends in large datasets by grouping related data points together based on their similarity. This approach can help researchers understand how variables interact with one
