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📄 kd_search.h

📁 c++实现的KNN库:建立高维度的K-d tree,实现K邻域搜索
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//----------------------------------------------------------------------// File:			kd_search.h// Programmer:		Sunil Arya and David Mount// Description:		Standard kd-tree search// Last modified:	01/04/05 (Version 1.0)//----------------------------------------------------------------------// Copyright (c) 1997-2005 University of Maryland and Sunil Arya and// David Mount.  All Rights Reserved.// // This software and related documentation is part of the Approximate// Nearest Neighbor Library (ANN).  This software is provided under// the provisions of the Lesser GNU Public License (LGPL).  See the// file ../ReadMe.txt for further information.// // The University of Maryland (U.M.) and the authors make no// representations about the suitability or fitness of this software for// any purpose.  It is provided "as is" without express or implied// warranty.//----------------------------------------------------------------------// History://	Revision 0.1  03/04/98//		Initial release//----------------------------------------------------------------------#ifndef ANN_kd_search_H#define ANN_kd_search_H#include "kd_tree.h"					// kd-tree declarations#include "kd_util.h"					// kd-tree utilities#include "pr_queue_k.h"					// k-element priority queue#include <ANN/ANNperf.h>				// performance evaluation//----------------------------------------------------------------------//	More global variables//		These are active for the life of each call to annkSearch(). They//		are set to save the number of variables that need to be passed//		among the various search procedures.//----------------------------------------------------------------------extern int				ANNkdDim;		// dimension of space (static copy)extern ANNpoint			ANNkdQ;			// query point (static copy)extern double			ANNkdMaxErr;	// max tolerable squared errorextern ANNpointArray	ANNkdPts;		// the points (static copy)extern ANNmin_k			*ANNkdPointMK;	// set of k closest pointsextern int				ANNptsVisited;	// number of points visited#endif

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