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