consensus_cluster: consensus_cluster function

In azolling/EBmodules:

Description

This function performs consensus clustering.

Usage

consensus_cluster(R, kmin = 2, kmax, clusterAlg = "hclust_ward", B = 10,
  prop_resamp = 0.8)

Arguments

R	a correlation matrix
kmin	the minimum number of clusters
kmax	the maximum number of clusters
clusterAlg	the clustering algorithm, one of the following kmeans, hclust_ward,hclust_average,hclust_complet,hclust_single
B	the number of resampling steps
prop_resamp	the proportion of the data that we want to resample

Value

best k (number of clusters) chosen by this method.

azolling/EBmodules documentation built on May 11, 2019, 5:17 p.m.