consensushc {NMF} | R Documentation |
Hierarchical Clustering of a Consensus Matrix
Description
The function consensushc
computes the hierarchical
clustering of a consensus matrix, using the matrix itself
as a similarity matrix and average linkage. It is
Usage
consensushc(object, ...)
## S4 method for signature 'matrix'
consensushc(object,
method = "average", dendrogram = TRUE)
## S4 method for signature 'NMFfitX'
consensushc(object,
what = c("consensus", "fit"), ...)
Arguments
object |
a matrix or an |
... |
extra arguments passed to next method calls |
method |
linkage method passed to
|
dendrogram |
a logical that specifies if the result
of the hierarchical clustering (en |
what |
character string that indicates which matrix to use in the computation. |
Value
an object of class dendrogram
or hclust
depending on the value of argument dendrogram
.
Methods
- consensushc
signature(object = "matrix")
: Workhorse method for matrices.- consensushc
signature(object = "NMF")
: Compute the hierarchical clustering on the connectivity matrix ofobject
.- consensushc
signature(object = "NMFfitX")
: Compute the hierarchical clustering on the consensus matrix ofobject
, or on the connectivity matrix of the best fit inobject
.