This is documentation for Orange 2.7. For the latest documentation, see Orange 3.

Consensus clustering (consensus)

Note

This module is still under development and its interface may change at any time.

Orange.clustering.consensus.consensus_matrix(data, n, subset_fn, cluster_fn)

Compute a consensus matrix.

Parameters:
  • data – data set to work on
  • n – number of different clusterings.
  • subset_fn – a function that takes a data table and returns a new data table with a subset of instances or attributes (or both). Subset function needs to preserve meta attribute “index”.
  • cluster_fn – a function that takes a data set and returns a list of examples in the clusters.