/usr/include/paraview/vtkPSciVizKMeans.h is in paraview-dev 5.0.1+dfsg1-4.
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Program: ParaView
Module: vtkPSciVizKMeans.h
Copyright (c) Kitware, Inc.
All rights reserved.
See Copyright.txt or http://www.paraview.org/HTML/Copyright.html for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notice for more information.
=========================================================================*/
// .NAME vtkPSciVizKMeans - Find k cluster centers and/or assess the closest center and distance to it for each datum.
// .SECTION Description
// This filter either computes a statistical model of
// a dataset or takes such a model as its second input.
// Then, the model (however it is obtained) may
// optionally be used to assess the input dataset.
//
// This filter iteratively computes the center of k clusters in a space
// whose coordinates are specified by the arrays you select.
// The clusters are chosen as local minima of the sum of square Euclidean
// distances from each point to its nearest cluster center.
// The model is then a set of cluster centers.
// Data is assessed by assigning a cluster center and distance to the
// cluster to each point in the input data set.
#ifndef vtkPSciVizKMeans_h
#define vtkPSciVizKMeans_h
#include "vtkPVVTKExtensionsDefaultModule.h" //needed for exports
#include "vtkSciVizStatistics.h"
class VTKPVVTKEXTENSIONSDEFAULT_EXPORT vtkPSciVizKMeans : public vtkSciVizStatistics
{
public:
static vtkPSciVizKMeans* New();
vtkTypeMacro(vtkPSciVizKMeans,vtkSciVizStatistics);
virtual void PrintSelf( ostream& os, vtkIndent indent );
// Description:
// The number of cluster centers.
// The initial centers will be chosen randomly.
// In the future the filter will accept an input table of initial cluster positions.
// The default value of \a K is 5.
vtkSetMacro(K,int);
vtkGetMacro(K,int);
// Description:
// The maximum number of iterations to perform when converging on cluster centers.
// The default value is 50 iterations.
vtkSetMacro(MaxNumIterations,int);
vtkGetMacro(MaxNumIterations,int);
// Description:
// The relative tolerance on cluster centers that will cause early termination of the algorithm.
// The default value is 0.01: a 1 percent change in cluster coordinates.
vtkSetMacro(Tolerance,double);
vtkGetMacro(Tolerance,double);
protected:
vtkPSciVizKMeans();
virtual ~vtkPSciVizKMeans();
virtual int LearnAndDerive( vtkMultiBlockDataSet* model, vtkTable* inData );
virtual int AssessData( vtkTable* observations, vtkDataObject* dataset, vtkMultiBlockDataSet* model );
int K;
int MaxNumIterations;
double Tolerance;
private:
vtkPSciVizKMeans( const vtkPSciVizKMeans& ); // Not implemented.
void operator = ( const vtkPSciVizKMeans& ); // Not implemented.
};
#endif // vtkPSciVizKMeans_h
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