The bimodules are clustered based on their jaccard distances and the dendrogram is cut to obtain the same number of bimodules as are obtained by the effective-count formula. For each of the cut subtree an appropriate bimodule is chosen to represent it.
filter_bimodules(bms, hclust.method = "average", plot.dendrogram = FALSE)
| bms | a list of bimodules. Each bimodule should be a list with two elements x and y. |
|---|---|
| hclust.method | The clustering method to use (passed to hclust) |
| plot.dendrogram | logical Plot the dendrogram along with the line it is cut at. |
The list of filtered bimodules. If there are ties the first one in order is preferred.