Chunk #28 — Three methods to decide between latent dimensionality and latent categories — Model-based clustering

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Does nature have joints worth carving? A discussion of taxometrics, model-based clustering and latent variable mixture modeling.

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This is a clustering approach based on a probability model. The key idea is to fit alternative models to the data and select the best-fitting model using indices of model fit. The question of taxonicity can be decided by comparing single cluster and multiple cluster models.