 Residual mixture clustering

Residual mixture clustering first removes a fitted covariate-dependent mean and then explores latent groups in the regression residuals. It seeks differences relative to the adjustment rather than raw-response differences. Mixture responsibilities express uncertain membership. The fitted mixture alone does not establish distinct real-world populations, and two-stage residual mixture fitting ignores some adjustment uncertainty.