Chunk #34 — 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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Fraley & Raftery (2002) mention the possibility of modeling the within-cluster covariance matrices more parsimoniously, for instance using a single-factor model. LVMM is a general framework that provides the flexibility to specify structural equation models within each class.