euclidean.h File Reference

#include <mpblocks/kd_tree/euclidean/Ball.h>
#include <mpblocks/kd_tree/euclidean/Distance.h>
#include <mpblocks/kd_tree/euclidean/Key.h>
#include <mpblocks/kd_tree/euclidean/HyperRect.h>
#include <mpblocks/kd_tree/euclidean/KNearest.h>
#include <mpblocks/kd_tree/euclidean/KNearestBall.h>
#include <mpblocks/kd_tree/euclidean/KNearestBallCenter.h>
#include <mpblocks/kd_tree/euclidean/Nearest.h>

Go to the source code of this file.

Classes
class	mpblocks::kd_tree::euclidean::Ball< Traits, Allocator >
struct	mpblocks::kd_tree::euclidean::Distance< Traits >
	provides euclidean distance computation More...
struct	mpblocks::kd_tree::euclidean::HyperRect< Traits >
	an NDim dimensional hyperrectangle, represented as a min and max extent More...
struct	mpblocks::kd_tree::euclidean::Key< Traits >
class	mpblocks::kd_tree::euclidean::KNearest< Traits, Allocator >
class	mpblocks::kd_tree::euclidean::KNearestBall< Traits, Allocator >
class	mpblocks::kd_tree::euclidean::KNearestBallCenter< Traits, Allocator >
	performs search for k-NN within a ball at a specified center and radius More...
class	mpblocks::kd_tree::euclidean::Nearest< Traits >
	provides a search algorithm for finding the nearest point in the kd tree to some query point. More...

Namespaces
	mpblocks
	mpblocks::kd_tree
	implements a kd-tree, a multidimensional search tree for points
	mpblocks::kd_tree::euclidean
	search implementations for a euclean metric space, distance is euclidean distance, ball is a euclidean ball

Detailed Description

Date

Nov 21, 2012

Author

Josh Bialkowski (jbial.nosp@m.k@mi.nosp@m.t.edu)

Definition in file euclidean.h.