cophcor
computes the cophenetic
correlation coefficient from consensus matrix
object
, e.g. as obtained from multiple NMF runs.
cophcor(object, ...)
"cophcor"(object, linkage = "average")
hclust
.signature(object = "matrix")
:
Workhorse method for matrices. signature(object = "NMFfitX")
:
Computes the cophenetic correlation coefficient on the
consensus matrix of object
. All arguments in
...
are passed to the method
cophcor,matrix
. It is defined as the Pearson correlation between the samples' distances induced by the consensus matrix (seen as a similarity matrix) and their cophenetic distances from a hierachical clustering based on these very distances (by default an average linkage is used). See Brunet et al. (2004).
cophenetic