y.clust: Identify putative clusters

In joheli/yea13: Identification of Putative Clusters in Surveillance Data According to Algorithm by Ypma et al. 2013

Description

This function accepts a Ypma dissimilarity matrix (or a list thereof) and returns information on putative clusters.

Usage

y.clust(yd, hs = c(2, 4, 6), result = c("sizes", "clusters"))

Arguments

yd	A square matrix (Ypma dissimilarity matrix) or a list thereof.
hs	An integer containing the heights at wich trees from hierarchical clustering should be cut.
return	An character specifying if sizes of putative clusters with according smallest maximal dissimilarities ('sizes') or clusters with information on ids etc. ('clusters') are to be returned.

Value

A square matrix containing Ypma dissimilarities.

joheli/yea13 documentation built on Sept. 18, 2020, 11:21 p.m.