cophcor computes the cophenetic
correlation coefficient from consensus matrix
object, e.g. as obtained from multiple NMF runs.
cophcor(object, ...) S4 (matrix) `cophcor`(object, linkage = "average")
The cophenetic correlation coeffificient is based on the consensus matrix (i.e. the average of connectivity matrices) and was proposed by Brunet et al. (2004) to measure the stability of the clusters obtained from NMF.
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).
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
Brunet J, Tamayo P, Golub TR and Mesirov JP (2004).
"Metagenes and molecular pattern discovery using matrix
factorization." _Proceedings of the National Academy of
Sciences of the United States of America_, *101*(12), pp.
4164-9. ISSN 0027-8424,