File: vtkKMeansDistanceFunctor.h

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#ifndef vtkKMeansDistanceFunctor_h
#define vtkKMeansDistanceFunctor_h

/**
 * @class   vtkKMeansDistanceFunctor
 * @brief   measure distance from k-means cluster centers
 *
 * This is an abstract class (with a default concrete subclass) that implements
 * algorithms used by the vtkKMeansStatistics filter that rely on a distance metric.
 * If you wish to use a non-Euclidean distance metric (this could include
 * working with strings that do not have a Euclidean distance metric, implementing
 * k-mediods, or trying distance metrics in norms other than L2), you
 * should subclass vtkKMeansDistanceFunctor.
*/

#include "vtkFiltersStatisticsModule.h" // For export macro
#include "vtkObject.h"

class vtkVariantArray;
class vtkAbstractArray;
class vtkTable;

class VTKFILTERSSTATISTICS_EXPORT vtkKMeansDistanceFunctor : public vtkObject
{
public:
  static vtkKMeansDistanceFunctor* New();
  vtkTypeMacro(vtkKMeansDistanceFunctor,vtkObject);
  void PrintSelf( ostream& os, vtkIndent indent ) VTK_OVERRIDE;

  /**
   * Return an empty tuple. These values are used as cluster center coordinates
   * when no initial cluster centers are specified.
   */
  virtual vtkVariantArray* GetEmptyTuple( vtkIdType dimension );

  /**
   * Compute the distance from one observation to another, returning the distance
   * in the first argument.
   */
  virtual void operator() ( double&, vtkVariantArray*, vtkVariantArray * );

  /**
   * This is called once per observation per run per iteration in order to assign the
   * observation to its nearest cluster center after the distance functor has been
   * evaluated for all the cluster centers.

   * The distance functor is responsible for incrementally updating the cluster centers
   * to account for the assignment.
   */
  virtual void PairwiseUpdate( vtkTable* clusterCenters, vtkIdType row, vtkVariantArray* data, vtkIdType dataCardinality, vtkIdType totalCardinality );

  /**
   * When a cluster center (1) has no observations that are closer to it than other cluster centers
   * or (2) has exactly the same coordinates as another cluster center, its coordinates should be
   * perturbed. This function should perform that perturbation.

   * Since perturbation relies on a distance metric, this function is the responsibility of the
   * distance functor.
   */
  virtual void PerturbElement( vtkTable*, vtkTable*, vtkIdType, vtkIdType, vtkIdType, double );

  /**
   * Allocate an array large enough to hold \a size coordinates and return a void pointer to this array.
   * This is used by vtkPKMeansStatistics to send (receive) cluster center coordinates to (from) other processes.
   */
  virtual void* AllocateElementArray( vtkIdType size );

  /**
   * Free an array allocated with AllocateElementArray.
   */
  virtual void DeallocateElementArray( void* );

  /**
   * Return a vtkAbstractArray capable of holding cluster center coordinates.
   * This is used by vtkPKMeansStatistics to hold cluster center coordinates sent to (received from) other processes.
   */
  virtual vtkAbstractArray*  CreateCoordinateArray();

  /**
   * Pack the cluster center coordinates in \a vElements into columns of \a curTable.
   * This code may assume that the columns in \a curTable are all of the type returned by \a GetNewVTKArray().
   */
  virtual void PackElements( vtkTable* curTable, void* vElements );

  //@{
  /**
   * Unpack the cluster center coordinates in \a vElements into columns of \a curTable.
   * This code may assume that the columns in \a curTable are all of the type returned by \a GetNewVTKArray().
   */
  virtual void UnPackElements( vtkTable* curTable, vtkTable* newTable, void* vLocalElements, void* vGlobalElements, int np );
  virtual void UnPackElements( vtkTable* curTable, void* vLocalElements, vtkIdType numRows, vtkIdType numCols );
  //@}

  /**
   * Return the data type used to store cluster center coordinates.
   */
  virtual int GetDataType();

protected:
  vtkKMeansDistanceFunctor();
  ~vtkKMeansDistanceFunctor() VTK_OVERRIDE;

  vtkVariantArray* EmptyTuple; // Used to quickly initialize Tuple for each datum
  vtkTable* CenterUpdates; // Used to hold online computation of next iteration's cluster center coords.

private:
  vtkKMeansDistanceFunctor( const vtkKMeansDistanceFunctor& ) VTK_DELETE_FUNCTION;
  void operator = ( const vtkKMeansDistanceFunctor& ) VTK_DELETE_FUNCTION;
};

#endif // vtkKMeansDistanceFunctor_h