Produce a truncated ensemble consensus matrix.

GetEnsemble(data, tol, n_comp = 3, tau, range = 2:20)

Arguments

data

a symmetric nonnegative similarity matrix

tol

cutoff for lambda zero

n_comp

the number of similarity components to use for ensemble clustering

tau

the drop tolerance, controlling the sparsification (uncoupling) of the consensus matrix

range

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

Value

a truncated ensemble consensus matrix