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