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 govaert2013coAntMAN, and is useful for understanding the number of clusters in the dataset.