CGAL::K_neighbor_search< Traits, GeneralDistance, Splitter, SpatialTree > Class Template Reference

#include <CGAL/K_neighbor_search.h>

Definition

The class K_neighbor_search implements approximate k-nearest and k-furthest neighbor searching using standard search on a tree using a general distance class.

The tree may be built with extended or unextended nodes.

Template Parameters

Traits	must be an implementation of the concept SearchTraits, for example Simple_cartesian<double>.
GeneralDistance	must be a model of the concept GeneralDistance. If Traits is Search_traits_adapter<Key,PointPropertyMap,BaseTraits> the default type is Distance_adapter<Key,PointPropertyMap,Euclidean_distance<BaseTraits> >, and Euclidean_distance<Traits> otherwise.
Splitter	must be a model of the concept Splitter. The default type is Sliding_midpoint<Traits>.
SpatialTree	must be an implementation of the concept SpatialTree. The default type is Kd_tree<Traits, Splitter, Tag_false, Tag_false>. The third template argument Tag_false makes that the tree is built with unextended nodes.

See also

CGAL::Orthogonal_k_neighbor_search<Traits, OrthogonalDistance, Splitter, SpatialTree>

Examples:

Spatial_searching/general_neighbor_searching.cpp.

Types
typedef Traits::Point_d	Point_d
	Point type.
typedef Traits::FT	FT
	Number type.
typedef GeneralDistance	Distance
	Distance type.
typedef std::pair< Point_d, FT >	Point_with_transformed_distance
	Pair of point and transformed distance.
typedef unspecified_type	iterator
	Bidirectional const iterator with value type Point_with_distance for enumerating approximate neighbors.
typedef GeneralDistance::Query_item	Query_item
	Query item type.
typedef SpatialTree	Tree
	The tree type.

Creation
	K_neighbor_search (const Tree &tree, Query_item q, unsigned int k=1, FT eps=FT(0.0), bool search_nearest=true, GeneralDistance d=GeneralDistance(), bool sorted=true)
	Constructor for searching approximately k neighbors of the query item q in the points stored in tree using distance class d and approximation factor eps. More...

Operations
iterator	begin () const
	Returns a const iterator to the approximate nearest or furthest neighbor.
iterator	end () const
	Returns the appropriate past-the-end const iterator.
std::ostream &	statistics (std::ostream &s)
	Inserts statistics of the search process into the output stream s.

Constructor & Destructor Documentation

K_neighbor_search()

template<typename Traits , typename GeneralDistance , typename Splitter , typename SpatialTree >

CGAL::K_neighbor_search< Traits, GeneralDistance, Splitter, SpatialTree >::K_neighbor_search	(	const Tree &	tree,
		Query_item	q,
		unsigned int	k = 1,
		FT	eps = FT(0.0),
		bool	search_nearest = true,
		GeneralDistance	d = GeneralDistance(),
		bool	sorted = true
	)

Constructor for searching approximately k neighbors of the query item q in the points stored in tree using distance class d and approximation factor eps.

sorted indicates if the computed sequence of k-nearest neighbors needs to be sorted.