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IMP
2.2.0
The Integrative Modeling Platform
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IMP
2.2.0
The Integrative Modeling Platform
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#include <IMP/statistics/RecursivePartitionalClusteringEmbedding.h>
Inheritance diagram for IMP::statistics::RecursivePartitionalClusteringEmbedding:Public Member Functions | |
| RecursivePartitionalClusteringEmbedding (Embedding *metric, PartitionalClustering *clustering) | |
| PartitionalClustering * | create_full_clustering (PartitionalClustering *center_cluster) |
| unsigned int | get_number_of_items () const |
| algebra::VectorKD | get_point (unsigned int i) const |
| virtual std::string | get_type_name () const |
| virtual ::IMP::base::VersionInfo | get_version_info () const |
| Get information about the module and version of the object. | |
| Public Member Functions inherited from IMP::statistics::Embedding | |
| virtual algebra::VectorKDs | get_points () const |
| double | get_weight (unsigned int i) const |
| Public Member Functions inherited from IMP::base::Object | |
| virtual void | clear_caches () |
| virtual void | do_destroy () |
| CheckLevel | get_check_level () const |
| LogLevel | get_log_level () const |
| void | set_check_level (CheckLevel l) |
| void | set_log_level (LogLevel l) |
| Set the logging level used in this object. More... | |
| void | set_was_used (bool tf) const |
| void | show (std::ostream &out=std::cout) const |
| const std::string & | get_name () const |
| void | set_name (std::string name) |
Additional Inherited Members | |
| Protected Member Functions inherited from IMP::statistics::Embedding | |
| Embedding (std::string name) | |
| virtual double | do_get_weight (unsigned int i) const |
| By default return 1.0. | |
| Protected Member Functions inherited from IMP::base::Object | |
| Object (std::string name) | |
| Construct an object with the given name. More... | |
Represent an embedding for clustering data that has already been clustered once. To use it, cluster things once, create one of these with the embedding you want (created with the original data). When you pass this embedding 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 24 of file RecursivePartitionalClusteringEmbedding.h.