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ML clustering groups similar data points, revealing patterns without predefined labels. It organizes data into meaningful clusters, aiding exploration and understanding inherent structures for informed decision-making.
This code is part of my PhD research. This code generate hybrid partitions using Kohonen to modeling the labels correlations, and HClust to partitioning the label space.