AM_mcmc_output object, this function returns the co-clustering matrix.
The co-clustering matrix is produced by the simultaneous clustering of the rows and columns. Each entry denotes the (posterior) probability that items i and j are together. This technique is also known as bi-clustering and block clustering \insertCitegovaert2013coAntMAN, and is useful for understanding the number of clusters in the dataset.
A numeric co-clustering matrix
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