Clusternomics: Integrative context-dependent clustering for heterogeneous datasets
Fig 20
Deviance information criterion (DIC) as a method for selecting number of clusters in the kidney cancer dataset.
The plot shows the DIC for a range of numbers of global clusters when the number of local clusters is set to three. The DIC is minimized for 16 global clusters.