101 #ifndef __vtkKMeansStatistics_h
102 #define __vtkKMeansStatistics_h
104 #include "vtkFiltersStatisticsModule.h"
107 class vtkIdTypeArray;
109 class vtkDoubleArray;
117 virtual void PrintSelf( ostream& os, vtkIndent indent );
129 vtkSetMacro(DefaultNumberOfClusters,
int);
130 vtkGetMacro(DefaultNumberOfClusters,
int);
135 vtkSetStringMacro(KValuesArrayName);
136 vtkGetStringMacro(KValuesArrayName);
142 vtkSetMacro( MaxNumIterations,
int );
143 vtkGetMacro( MaxNumIterations,
int );
149 vtkSetMacro( Tolerance,
double );
150 vtkGetMacro( Tolerance,
double );
164 const char* parameter,
int index, vtkVariant value );
201 vtkStringArray* rowNames,
202 AssessFunctor*& dfunc );
209 virtual void UpdateClusterCenters(
vtkTable* newClusterElements,
211 vtkIdTypeArray* numMembershipChanges,
212 vtkIdTypeArray* numElementsInCluster,
213 vtkDoubleArray* error,
214 vtkIdTypeArray* startRunID,
215 vtkIdTypeArray* endRunID,
216 vtkIntArray *computeRun );
222 virtual vtkIdType GetTotalNumberOfObservations( vtkIdType numObservations );
229 int InitializeDataAndClusterCenters(
vtkTable* inParameters,
232 vtkIdTypeArray* numberOfClusters,
235 vtkIdTypeArray* startRunID,
236 vtkIdTypeArray* endRunID);
243 virtual void CreateInitialClusterCenters(vtkIdType numToAllocate,
244 vtkIdTypeArray* numberOfClusters,
virtual void Test(vtkTable *, vtkMultiBlockDataSet *, vtkTable *)
virtual void Assess(vtkTable *, vtkMultiBlockDataSet *, vtkTable *)=0
static vtkTableAlgorithm * New()
void PrintSelf(ostream &os, vtkIndent indent)
maintain an unordered list of data objects
vtkKMeansDistanceFunctor * DistanceFunctor
int DefaultNumberOfClusters
virtual void Aggregate(vtkDataObjectCollection *, vtkMultiBlockDataSet *)
Base class for statistics algorithms.
A class for KMeans clustering.
virtual void Learn(vtkTable *, vtkTable *, vtkMultiBlockDataSet *)=0
virtual void Derive(vtkMultiBlockDataSet *)=0
A table, which contains similar-typed columns of data.
virtual bool SetParameter(const char *parameter, int index, vtkVariant value)
Composite dataset that organizes datasets into blocks.
virtual void SelectAssessFunctor(vtkTable *outData, vtkDataObject *inMeta, vtkStringArray *rowNames, AssessFunctor *&dfunc)=0
general representation of visualization data
measure distance from k-means cluster centers