131 lines
5 KiB
Text
131 lines
5 KiB
Text
//----------------------------------------------------------------------
|
|
// File: rand.h
|
|
// Programmer: Sunil Arya and David Mount
|
|
// Description: Basic include file for random point generators
|
|
// Last modified: 08/04/06 (Version 1.1.1)
|
|
//----------------------------------------------------------------------
|
|
// 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
|
|
// Revision 1.0 04/01/05
|
|
// Added annClusOrthFlats distribution
|
|
// Changed procedure names to avoid namespace conflicts
|
|
// Added annClusFlats distribution
|
|
// Revision 1.1.1 08/04/06
|
|
// Added planted distribution
|
|
//----------------------------------------------------------------------
|
|
|
|
#ifndef rand_H
|
|
#define rand_H
|
|
|
|
//----------------------------------------------------------------------
|
|
// Basic includes
|
|
//----------------------------------------------------------------------
|
|
#include <cstdlib> // standard includes (rand/random)
|
|
#include <cmath> // math routines
|
|
#include <ANN/ANN.h> // basic ANN includes
|
|
|
|
//----------------------------------------------------------------------
|
|
// Although random/srandom is a more reliable random number generator,
|
|
// many systems do not have it. If it is not available, set the
|
|
// preprocessor symbol ANN_NO_RANDOM, and this will substitute the use
|
|
// of rand/srand for them.
|
|
//----------------------------------------------------------------------
|
|
#ifdef ANN_NO_RANDOM // for systems not having random()
|
|
#define ANN_RAND rand
|
|
#define ANN_SRAND srand
|
|
#define ANN_RAND_MAX RAND_MAX
|
|
#else // otherwise use rand()
|
|
#define ANN_RAND random
|
|
#define ANN_SRAND srandom
|
|
#define ANN_RAND_MAX 2147483647UL // 2**{31} - 1
|
|
// #define ANN_RAND_MAX 1073741824UL // 2**{30}
|
|
#endif
|
|
|
|
//----------------------------------------------------------------------
|
|
// Globals
|
|
//----------------------------------------------------------------------
|
|
extern int annIdum; // random number seed
|
|
|
|
//----------------------------------------------------------------------
|
|
// External entry points
|
|
//----------------------------------------------------------------------
|
|
|
|
void annUniformPts( // uniform distribution
|
|
ANNpointArray pa, // point array (modified)
|
|
int n, // number of points
|
|
int dim); // dimension
|
|
|
|
void annGaussPts( // Gaussian distribution
|
|
ANNpointArray pa, // point array (modified)
|
|
int n, // number of points
|
|
int dim, // dimension
|
|
double std_dev); // standard deviation
|
|
|
|
void annCoGaussPts( // correlated-Gaussian distribution
|
|
ANNpointArray pa, // point array (modified)
|
|
int n, // number of points
|
|
int dim, // dimension
|
|
double correlation); // correlation
|
|
|
|
void annLaplacePts( // Laplacian distribution
|
|
ANNpointArray pa, // point array (modified)
|
|
int n, // number of points
|
|
int dim); // dimension
|
|
|
|
void annCoLaplacePts( // correlated-Laplacian distribution
|
|
ANNpointArray pa, // point array (modified)
|
|
int n, // number of points
|
|
int dim, // dimension
|
|
double correlation); // correlation
|
|
|
|
void annClusGaussPts( // clustered-Gaussian distribution
|
|
ANNpointArray pa, // point array (modified)
|
|
int n, // number of points
|
|
int dim, // dimension
|
|
int n_clus, // number of colors (clusters)
|
|
ANNbool new_clust, // generate new cluster centers
|
|
double std_dev); // standard deviation within clusters
|
|
|
|
void annClusOrthFlats( // clustered along orthogonal flats
|
|
ANNpointArray pa, // point array (modified)
|
|
int n, // number of points
|
|
int dim, // dimension
|
|
int n_clus, // number of colors
|
|
ANNbool new_clust, // generate new clusters.
|
|
double std_dev, // standard deviation within clusters
|
|
int max_dim); // maximum dimension of the flats
|
|
|
|
void annClusEllipsoids( // clustered around ellipsoids
|
|
ANNpointArray pa, // point array (modified)
|
|
int n, // number of points
|
|
int dim, // dimension
|
|
int n_clus, // number of colors
|
|
ANNbool new_clust, // generate new clusters.
|
|
double std_dev_small, // small standard deviation
|
|
double std_dev_lo, // low standard deviation for ellipses
|
|
double std_dev_hi, // high standard deviation for ellipses
|
|
int max_dim); // maximum dimension of the flats
|
|
|
|
void annPlanted( // planted nearest neighbors
|
|
ANNpointArray pa, // point array (modified)
|
|
int n, // number of points
|
|
int dim, // dimension
|
|
ANNpointArray src, // source point array
|
|
int n_src, // source size
|
|
double std_dev); // standard deviation about source
|
|
|
|
#endif
|