c_hierarchy {stops} | R Documentation |
c-hierarchy captures how well a partition/ultrametric (obtained by hclust) explains the configuration distances. Uses variance explained for euclidean distances and deviance explained for everything else.
c_hierarchy(confs, p = 2, agglmethod = "complete")
confs |
a numeric matrix |
p |
the parameter of the Minokwski distances (p=2 euclidean and p=1 is manhattan) |
agglmethod |
the method used for creating the clustering, see |
delts<-smacof::kinshipdelta conf<-smacofSym(delts)$conf c_hierarchy(conf,p=2,agglmethod="single")