mixmod  3.2.0
Mixture models for clustering and classification
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XEM::ClusteringOutput Class Reference

Public Member Functions

 ClusteringOutput (std::vector< CriterionName > const &criterionName)
 Default Constructor.
 ClusteringOutput (const ClusteringOutput &cOutput)
 Copy Constructor.
ClusteringOutputclone ()
void addEstimation (ClusteringModelOutput *cmoutput)
 ClusteringOutput (std::vector< Model * > const &estimations, std::vector< CriterionName > const &criterionName)
 Initialization constructor.
virtual ~ClusteringOutput ()
bool operator== (const ClusteringOutput &output) const
 Comparison operator.
bool operator!= (const ClusteringOutput &output) const
bool atLeastOneEstimationNoError () const
const int getNbEstimationWithNoError () const
void sort (CriterionName criterionName)
 sort vector of XEMClusteringModelOutput (with the ith criterion value)
void editFile () const
ClusteringModelOutputgetClusteringModelOutput (const int64_t index) const
int64_t getNbClusteringModelOutput () const
< ClusteringModelOutput * >
const & 
getClusteringModelOutput () const
void setClusteringModelOutput (std::vector< ClusteringModelOutput * > &clusteringModelOutput)
const int getCriterionSize () const
const CriterionNamegetCriterionName (const int index) const
const std::vector
< CriterionName > & 
getCriterionName () const

Member Function Documentation

ClusteringModelOutput * XEM::ClusteringOutput::getClusteringModelOutput ( const int64_t  index) const

return the index'th' ClusteringModelOutput Note : index is between 0 and size(ClusteringModelOutput)-1

The documentation for this class was generated from the following files: