rectangle_tree.hpp

Go to the documentation of this file.

#ifndef MLPACK_CORE_TREE_RECTANGLE_TREE_RECTANGLE_TREE_HPP
#define MLPACK_CORE_TREE_RECTANGLE_TREE_RECTANGLE_TREE_HPP

#include <mlpack/prereqs.hpp>

#include "../hrectbound.hpp"
#include "../statistic.hpp"
#include "r_tree_split.hpp"
#include "r_tree_descent_heuristic.hpp"
#include "no_auxiliary_information.hpp"

namespace mlpack {
namespace tree  {

template<typename MetricType = metric::EuclideanDistance,
         typename StatisticType = EmptyStatistic,
         typename MatType = arma::mat,
         typename SplitType = RTreeSplit,
         typename DescentType = RTreeDescentHeuristic,
         template<typename> class AuxiliaryInformationType =
             NoAuxiliaryInformation>
class RectangleTree
{
  // The metric *must* be the euclidean distance.
  static_assert(boost::is_same<MetricType, metric::EuclideanDistance>::value,
      "RectangleTree: MetricType must be metric::EuclideanDistance.");

 public:
  typedef MatType Mat;
  typedef typename MatType::elem_type ElemType;
  typedef AuxiliaryInformationType<RectangleTree> AuxiliaryInformation;
 private:
  size_t maxNumChildren;
  size_t minNumChildren;
  size_t numChildren;
  std::vector<RectangleTree*> children;
  RectangleTree* parent;
  size_t begin;
  size_t count;
  size_t numDescendants;
  size_t maxLeafSize;
  size_t minLeafSize;
  bound::HRectBound<metric::EuclideanDistance, ElemType> bound;
  StatisticType stat;
  ElemType parentDistance;
  const MatType* dataset;
  bool ownsDataset;
  std::vector<size_t> points;
  AuxiliaryInformationType<RectangleTree> auxiliaryInfo;

 public:
  template<typename RuleType>
  class SingleTreeTraverser;
  template<typename RuleType>
  class DualTreeTraverser;

  RectangleTree(const MatType& data,
                const size_t maxLeafSize = 20,
                const size_t minLeafSize = 8,
                const size_t maxNumChildren = 5,
                const size_t minNumChildren = 2,
                const size_t firstDataIndex = 0);

  RectangleTree(MatType&& data,
                const size_t maxLeafSize = 20,
                const size_t minLeafSize = 8,
                const size_t maxNumChildren = 5,
                const size_t minNumChildren = 2,
                const size_t firstDataIndex = 0);

  explicit RectangleTree(RectangleTree* parentNode,
                         const size_t numMaxChildren = 0);

  RectangleTree(const RectangleTree& other,
                const bool deepCopy = true,
                RectangleTree* newParent = NULL);

  RectangleTree(RectangleTree&& other);

  template<typename Archive>
  RectangleTree(
      Archive& ar,
      const typename std::enable_if_t<Archive::is_loading::value>* = 0);

  ~RectangleTree();

  void SoftDelete();

  void NullifyData();

  void InsertPoint(const size_t point);

  void InsertPoint(const size_t point, std::vector<bool>& relevels);

  void InsertNode(RectangleTree* node,
                  const size_t level,
                  std::vector<bool>& relevels);

  bool DeletePoint(const size_t point);

  bool DeletePoint(const size_t point, std::vector<bool>& relevels);

  bool RemoveNode(const RectangleTree* node, std::vector<bool>& relevels);

  const RectangleTree* FindByBeginCount(size_t begin, size_t count) const;

  RectangleTree* FindByBeginCount(size_t begin, size_t count);

  const bound::HRectBound<MetricType>& Bound() const { return bound; }
  bound::HRectBound<MetricType>& Bound() { return bound; }

  const StatisticType& Stat() const { return stat; }
  StatisticType& Stat() { return stat; }

  const AuxiliaryInformationType<RectangleTree> &AuxiliaryInfo() const
  { return auxiliaryInfo; }
  AuxiliaryInformationType<RectangleTree>& AuxiliaryInfo()
  { return auxiliaryInfo; }

  bool IsLeaf() const;

  size_t MaxLeafSize() const { return maxLeafSize; }
  size_t& MaxLeafSize() { return maxLeafSize; }

  size_t MinLeafSize() const { return minLeafSize; }
  size_t& MinLeafSize() { return minLeafSize; }

  size_t MaxNumChildren() const { return maxNumChildren; }
  size_t& MaxNumChildren() { return maxNumChildren; }

  size_t MinNumChildren() const { return minNumChildren; }
  size_t& MinNumChildren() { return minNumChildren; }

  RectangleTree* Parent() const { return parent; }
  RectangleTree*& Parent() { return parent; }

  const MatType& Dataset() const { return *dataset; }
  MatType& Dataset() { return const_cast<MatType&>(*dataset); }

  MetricType Metric() const { return MetricType(); }

  void Center(arma::vec& center) { bound.Center(center); }

  size_t NumChildren() const { return numChildren; }
  size_t& NumChildren() { return numChildren; }

  template<typename VecType>
  size_t GetNearestChild(
      const VecType& point,
      typename std::enable_if_t<IsVector<VecType>::value>* = 0);

  template<typename VecType>
  size_t GetFurthestChild(
      const VecType& point,
      typename std::enable_if_t<IsVector<VecType>::value>* = 0);

  size_t GetNearestChild(const RectangleTree& queryNode);

  size_t GetFurthestChild(const RectangleTree& queryNode);

  ElemType FurthestPointDistance() const;

  ElemType FurthestDescendantDistance() const;

  ElemType MinimumBoundDistance() const { return bound.MinWidth() / 2.0; }

  ElemType ParentDistance() const { return parentDistance; }
  ElemType& ParentDistance() { return parentDistance; }

  inline RectangleTree& Child(const size_t child) const
  {
    return *children[child];
  }

  inline RectangleTree& Child(const size_t child)
  {
    return *children[child];
  }

  size_t NumPoints() const;

  size_t NumDescendants() const;

  size_t Descendant(const size_t index) const;

  size_t Point(const size_t index) const { return points[index]; }

  size_t& Point(const size_t index) { return points[index]; }

  ElemType MinDistance(const RectangleTree& other) const
  {
    return bound.MinDistance(other.Bound());
  }

  ElemType MaxDistance(const RectangleTree& other) const
  {
    return bound.MaxDistance(other.Bound());
  }

  math::RangeType<ElemType> RangeDistance(const RectangleTree& other) const
  {
    return bound.RangeDistance(other.Bound());
  }

  template<typename VecType>
  ElemType MinDistance(const VecType& point,
                       typename std::enable_if_t<IsVector<VecType>::value>* = 0)
      const
  {
    return bound.MinDistance(point);
  }

  template<typename VecType>
  ElemType MaxDistance(const VecType& point,
                       typename std::enable_if_t<IsVector<VecType>::value>* = 0)
      const
  {
    return bound.MaxDistance(point);
  }

  template<typename VecType>
  math::RangeType<ElemType> RangeDistance(
      const VecType& point,
      typename std::enable_if_t<IsVector<VecType>::value>* = 0) const
  {
    return bound.RangeDistance(point);
  }

  size_t TreeSize() const;

  size_t TreeDepth() const;

  size_t Begin() const { return begin; }
  size_t& Begin() { return begin; }

  size_t Count() const { return count; }
  size_t& Count() { return count; }

 private:
  void SplitNode(std::vector<bool>& relevels);

 protected:
  RectangleTree();

  friend class boost::serialization::access;

  friend DescentType;

  friend SplitType;

  friend AuxiliaryInformation;

 public:
  void CondenseTree(const arma::vec& point,
                    std::vector<bool>& relevels,
                    const bool usePoint);

  bool ShrinkBoundForPoint(const arma::vec& point);

  bool ShrinkBoundForBound(const bound::HRectBound<MetricType>& changedBound);

  RectangleTree* ExactClone();

  template<typename Archive>
  void serialize(Archive& ar, const unsigned int /* version */);
};

} // namespace tree
} // namespace mlpack

// Include implementation.
#include "rectangle_tree_impl.hpp"

#endif