AI-enhanced clustering of mine tailings using geostatistical data augmentation and Gaussian mixture models

This is like taking a few lab tests of mine waste, then asking a smart statistician-plus-AI system to ‘fill in the gaps’ and group all the waste into meaningful types. Instead of sampling every pile of tailings, the model learns patterns from existing samples, simulates realistic extra data, and then clusters the material into zones with similar properties.