consensushc computes the hierarchical
clustering of a consensus matrix, using the matrix itself
as a similarity matrix and average linkage. It is
consensushc(object, ...)
"consensushc"(object, method = "average", dendrogram = TRUE)
"consensushc"(object, what = c("consensus", "fit"), ...)NMFfitX object, as
returned by multiple NMF runs.hclust.hclust object)
should be converted into a dendrogram. Default value is
TRUE.dendrogram or hclust
depending on the value of argument dendrogram.
signature(object = "matrix"):
Workhorse method for matrices. signature(object = "NMF"):
Compute the hierarchical clustering on the connectivity
matrix of object. signature(object = "NMFfitX"):
Compute the hierarchical clustering on the consensus
matrix of object, or on the connectivity matrix of
the best fit in object.