IMP::statistics::RecursivePartitionalClusteringMetric Class Reference
#include <IMP/statistics/RecursivePartitionalClusteringMetric.h>
Inheritance diagram for IMP::statistics::RecursivePartitionalClusteringMetric:Public Member Functions | |
| RecursivePartitionalClusteringMetric (Metric *metric, PartitionalClustering *clustering) | |
| PartitionalClustering * | create_full_clustering (PartitionalClustering *center_cluster) |
| virtual void | do_show (std::ostream &out) const |
| double | get_distance (unsigned int i, unsigned int j) const |
| unsigned int | get_number_of_items () const |
Additional Inherited Members | |
| Protected Member Functions inherited from IMP::statistics::Metric | |
| Metric (std::string name) | |
| Related Functions inherited from IMP::statistics::Metric | |
| typedef IMP::base::Vector < IMP::base::WeakPointer < Metric > > | MetricsTemp |
Detailed Description
Represent a metric for clustering data that has already been clustered once. To use it, cluster things once, create one of these with the metric you want (created with the original data). When you pass this metric to the clustering algorithm, it will cluster the centers. You can extract the clustering of the original elements using create_full_clustering().
Definition at line 26 of file RecursivePartitionalClusteringMetric.h.
The documentation for this class was generated from the following file: