c_hierarchy: c-hierarchy captures how well a partition/ultrametric...

In stops: Structure Optimized Proximity Scaling

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.

Description

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.

Usage

c_hierarchy(confs, p = 2, agglmethod = "complete")

Arguments

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 hclust.

Value

a numeric value; hierarchy (see cl_validity)

Examples

delts<-smacof::kinshipdelta
conf<-smacofSym(delts)$conf
c_hierarchy(conf,p=2,agglmethod="single")

stops documentation built on Dec. 12, 2023, 3:02 a.m.