Produce a truncated ensemble consensus matrix.
GetEnsemble(data, tol, n_comp = 3, tau, range = 2:20)
data | a symmetric nonnegative similarity matrix |
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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 |
a truncated ensemble consensus matrix