Oberski, Daniel; Kollenburg, Geert; Vermunt, Jeroen - In: Advances in Data Analysis and Classification 7 (2013) 3, pp. 267-279
Binary data latent class analysis is a form of model-based clustering applied in a wide range of fields. A central assumption of this model is that of conditional independence of responses given latent class membership, often referred to as the “local independence” assumption. The results of...