dtb_stat.hpp

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#ifndef MLPACK_METHODS_EMST_DTB_STAT_HPP
#define MLPACK_METHODS_EMST_DTB_STAT_HPP

#include <mlpack/prereqs.hpp>

namespace mlpack {
namespace emst {

class DTBStat
{
 private:
  double maxNeighborDistance;

  double minNeighborDistance;

  double bound;

  int componentMembership;

 public:
  DTBStat() :
      maxNeighborDistance(DBL_MAX),
      minNeighborDistance(DBL_MAX),
      bound(DBL_MAX),
      componentMembership(-1) { }

  template<typename TreeType>
  DTBStat(const TreeType& node) :
      maxNeighborDistance(DBL_MAX),
      minNeighborDistance(DBL_MAX),
      bound(DBL_MAX),
      componentMembership(
          ((node.NumPoints() == 1) && (node.NumChildren() == 0)) ?
            node.Point(0) : -1) { }

  double MaxNeighborDistance() const { return maxNeighborDistance; }
  double& MaxNeighborDistance() { return maxNeighborDistance; }

  double MinNeighborDistance() const { return minNeighborDistance; }
  double& MinNeighborDistance() { return minNeighborDistance; }

  double Bound() const { return bound; }
  double& Bound() { return bound; }

  int ComponentMembership() const { return componentMembership; }
  int& ComponentMembership() { return componentMembership; }
}; // class DTBStat

} // namespace emst
} // namespace mlpack

#endif // MLPACK_METHODS_EMST_DTB_STAT_HPP