Bayesian Mixture Models — Soft Clustering with Uncertainty

For clustering where you need probabilistic assignments and uncertainty on cluster parameters, use Bayesian Gaussian mixture models with PyMC. Unlike k-means (hard assignments, no uncertainty) or sklearn GMM (soft assignments, no parameter uncertainty), the Bayesian approach gives you posteriors on everything: means, variances, weights, and per-point assignments.

When to use this skill