Use clustering consensus to infer cluster number.

CountClusters(data, tol = 0.01, range = 2:20, eigengap = TRUE, n_comp)

Arguments

data

a symmetric nonnegative similarity matrix

tol

cutoff for lambda zero

range

a vector specifying the min and max number of clusters to iteratively test when building the consensus matrix

eigengap

whether or not to use the max eigengap (upper bound) cluster count

n_comp

the number of similarity components to use for ensemble clustering

Value

the number of clusters and the vector of eigenvalues