Latent class model with conditional dependency per modes to cluster categorical data

HIGHLIGHTS

• who: Matthieu Marbac and colleagues from the (UNIVERSITY) have published the research: Latent class model with conditional dependency per modes to cluster categorical data, in the Journal: (JOURNAL)
• what: The authors propose parsimonious extension of the classical latent class model to cluster categorical data by relaxing the conditional independence assumption. This approach provides an efficient model selection in a reasonable computational time since the parameters are estimated via an EM algorithm only for the single selected model. The authors show that the sampling from_(9) can be achieved by a Gibbs sampler which alternates between . . .
  

   

  

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