Labo-Lacourse/stepmix

A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.

语言：Python · GitHub 星标：92 · Fork：6

话题：classification · clustering · expectation-maximization · latent-class-analysis · lca · machine-learning · mixture-models · supervised-learning

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