The function consensushc computes the hierarchical
clustering of a consensus matrix, using the matrix itself
as a similarity matrix and average linkage. It is
consensushc(object, ...) # S4 method for matrix
consensushc(object,
method = "average", dendrogram = TRUE)
# S4 method for NMFfitX
consensushc(object,
what = c("consensus", "fit"), ...)
an object of class dendrogram or hclust
depending on the value of argument dendrogram.
a matrix or an NMFfitX object, as
returned by multiple NMF runs.
extra arguments passed to next method calls
linkage method passed to
hclust.
a logical that specifies if the result
of the hierarchical clustering (en hclust object)
should be converted into a dendrogram. Default value is
TRUE.
character string that indicates which matrix to use in the computation.
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.