VTK  9.5.2
vtkKMeansStatistics.h
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1// SPDX-FileCopyrightText: Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
2// SPDX-FileCopyrightText: Copyright 2010 Sandia Corporation
3// SPDX-License-Identifier: LicenseRef-BSD-3-Clause-Sandia-USGov
112
113#ifndef vtkKMeansStatistics_h
114#define vtkKMeansStatistics_h
115
116#include "vtkFiltersStatisticsModule.h" // For export macro
118
119VTK_ABI_NAMESPACE_BEGIN
120class vtkIdTypeArray;
121class vtkIntArray;
122class vtkDoubleArray;
125
126class VTKFILTERSSTATISTICS_EXPORT vtkKMeansStatistics : public vtkStatisticsAlgorithm
127{
128public:
130 void PrintSelf(ostream& os, vtkIndent indent) override;
132
134
140
142
145 vtkSetMacro(DefaultNumberOfClusters, int);
146 vtkGetMacro(DefaultNumberOfClusters, int);
148
150
153 vtkSetStringMacro(KValuesArrayName);
154 vtkGetStringMacro(KValuesArrayName);
156
158
162 vtkSetMacro(MaxNumIterations, int);
163 vtkGetMacro(MaxNumIterations, int);
165
167
171 vtkSetMacro(Tolerance, double);
172 vtkGetMacro(Tolerance, double);
174
180
184 bool SetParameter(const char* parameter, int index, vtkVariant value) override;
185
187
197 vtkSetMacro(GhostsToSkip, unsigned char);
198 vtkGetMacro(GhostsToSkip, unsigned char);
200
201protected:
204
206
211
216
221
226
231 AssessFunctor*& dfunc) override;
232
238 virtual void UpdateClusterCenters(vtkTable* newClusterElements, vtkTable* curClusterElements,
239 vtkIdTypeArray* numMembershipChanges, vtkIdTypeArray* numDataElementsInCluster,
240 vtkDoubleArray* error, vtkIdTypeArray* startRunID, vtkIdTypeArray* endRunID,
241 vtkIntArray* computeRun);
242
249
257 vtkTable* dataElements, vtkIdTypeArray* numberOfClusters, vtkTable* curClusterElements,
258 vtkTable* newClusterElements, vtkIdTypeArray* startRunID, vtkIdTypeArray* endRunID);
259
265 virtual void CreateInitialClusterCenters(vtkIdType numToAllocate,
266 vtkIdTypeArray* numberOfClusters, vtkTable* inData, vtkTable* curClusterElements,
267 vtkTable* newClusterElements);
268
287 double Tolerance;
293
298
299 unsigned char GhostsToSkip;
300
301private:
303 void operator=(const vtkKMeansStatistics&) = delete;
304};
305
306VTK_ABI_NAMESPACE_END
307#endif
maintain an unordered list of data objects
general representation of visualization data
dynamic, self-adjusting array of double
dynamic, self-adjusting array of vtkIdType
a simple class to control print indentation
Definition vtkIndent.h:108
Store zero or more vtkInformation instances.
Store vtkAlgorithm input/output information.
dynamic, self-adjusting array of int
measure distance from k-means cluster centers
int MaxNumIterations
This is the maximum number of iterations allowed if the new cluster centers have not yet converged.
void SelectAssessFunctor(vtkTable *inData, vtkDataObject *inMeta, vtkStringArray *rowNames, AssessFunctor *&dfunc) override
Provide the appropriate assessment functor.
static vtkKMeansStatistics * New()
void Aggregate(vtkDataObjectCollection *, vtkMultiBlockDataSet *) override
Given a collection of models, calculate aggregate model NB: not implemented.
virtual void UpdateClusterCenters(vtkTable *newClusterElements, vtkTable *curClusterElements, vtkIdTypeArray *numMembershipChanges, vtkIdTypeArray *numDataElementsInCluster, vtkDoubleArray *error, vtkIdTypeArray *startRunID, vtkIdTypeArray *endRunID, vtkIntArray *computeRun)
Subroutine to update new cluster centers from the old centers.
char * KValuesArrayName
This is the name of the column that specifies the number of clusters in each run.
vtkIdType NumberOfGhosts
Number of ghosts in input data.
void Learn(vtkTable *, vtkTable *, vtkMultiBlockDataSet *) override
Execute the calculations required by the Learn option.
vtkKMeansDistanceFunctor * DistanceFunctor
This is the Distance functor.
bool SetParameter(const char *parameter, int index, vtkVariant value) override
A convenience method for setting properties by name.
virtual vtkIdType GetTotalNumberOfObservations(vtkIdType numObservations)
Subroutine to get the total number of observations.
void PrintSelf(ostream &os, vtkIndent indent) override
Methods invoked by print to print information about the object including superclasses.
int DefaultNumberOfClusters
This is the default number of clusters used when the user does not provide initial cluster centers.
void Derive(vtkMultiBlockDataSet *) override
Execute the calculations required by the Derive option.
void Assess(vtkTable *, vtkMultiBlockDataSet *, vtkTable *) override
Execute the calculations required by the Assess option.
int InitializeDataAndClusterCenters(vtkTable *inParameters, vtkTable *inData, vtkTable *dataElements, vtkIdTypeArray *numberOfClusters, vtkTable *curClusterElements, vtkTable *newClusterElements, vtkIdTypeArray *startRunID, vtkIdTypeArray *endRunID)
Subroutine to initialize the cluster centers using those provided by the user in input port LEARN_PAR...
virtual void CreateInitialClusterCenters(vtkIdType numToAllocate, vtkIdTypeArray *numberOfClusters, vtkTable *inData, vtkTable *curClusterElements, vtkTable *newClusterElements)
Subroutine to initialize cluster centerss if not provided by the user.
~vtkKMeansStatistics() override
double Tolerance
This is the percentage of data elements that swap cluster IDs.
void Test(vtkTable *, vtkMultiBlockDataSet *, vtkTable *) override
Execute the calculations required by the Test option.
virtual void SetDistanceFunctor(vtkKMeansDistanceFunctor *)
Set the DistanceFunctor.
int RequestData(vtkInformation *, vtkInformationVector **, vtkInformationVector *) override
This is called by the superclass.
Composite dataset that organizes datasets into blocks.
A base class for a functor that assesses data.
a vtkAbstractArray subclass for strings
A table, which contains similar-typed columns of data.
Definition vtkTable.h:169
A type representing the union of many types.
Definition vtkVariant.h:162
int vtkIdType
Definition vtkType.h:332