/*=========================================================================

  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
