Pages that link to "Item:Q497086"

The following pages link to Choosing the number of clusters in a finite mixture model using an exact integrated completed likelihood criterion (Q497086):

Displaying 7 items.

• Optimal Bayesian estimators for latent variable cluster models (Q122296) (← links)
• Variable selection for model-based clustering using the integrated complete-data likelihood (Q133915) (← links)
• Latent variable models for the analysis of socio-economic data (Q497082) (← links)
• Comparing classical criteria for selecting intra-class correlated features in Multimix (Q1659009) (← links)
• The sensitivity of the number of clusters in a Gaussian mixture model to prior distributions (Q2254091) (← links)
• Hierarchical clustering with discrete latent variable models and the integrated classification likelihood (Q2673349) (← links)
• Finding the Number of Normal Groups in Model-Based Clustering via Constrained Likelihoods (Q3391121) (← links)