HCtbl {CluMSID} | R Documentation |
HCtbl()
performs hierarchical clustering
of spectral similarity data using average linkage
as agglomeration criterion.
HCtbl(distmat, h = 0.95)
distmat |
A distance matrix as generated by
|
h |
Height where the tree is to be cut, defaults to |
A data.frame
with name and cluster ID for each
feature in distmat
.
load(file = system.file("extdata", "distmat.RData", package = "CluMSIDdata")) my_HCtbl <- HCtbl(distmat[1:50,1:50], h = 0.8)