[37] | 1 | //---------------------------------------------------------------------- |
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| 2 | // File: rand.h |
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| 3 | // Programmer: Sunil Arya and David Mount |
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| 4 | // Description: Basic include file for random point generators |
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| 5 | // Last modified: 08/04/06 (Version 1.1.1) |
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| 6 | //---------------------------------------------------------------------- |
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| 7 | // Copyright (c) 1997-2005 University of Maryland and Sunil Arya and |
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| 8 | // David Mount. All Rights Reserved. |
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| 9 | // |
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| 10 | // This software and related documentation is part of the Approximate |
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| 11 | // Nearest Neighbor Library (ANN). This software is provided under |
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| 12 | // the provisions of the Lesser GNU Public License (LGPL). See the |
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| 13 | // file ../ReadMe.txt for further information. |
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| 14 | // |
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| 15 | // The University of Maryland (U.M.) and the authors make no |
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| 16 | // representations about the suitability or fitness of this software for |
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| 17 | // any purpose. It is provided "as is" without express or implied |
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| 18 | // warranty. |
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| 19 | //---------------------------------------------------------------------- |
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| 20 | // History: |
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| 21 | // Revision 0.1 03/04/98 |
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| 22 | // Initial release |
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| 23 | // Revision 1.0 04/01/05 |
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| 24 | // Added annClusOrthFlats distribution |
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| 25 | // Changed procedure names to avoid namespace conflicts |
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| 26 | // Added annClusFlats distribution |
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| 27 | // Revision 1.1.1 08/04/06 |
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| 28 | // Added planted distribution |
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| 29 | //---------------------------------------------------------------------- |
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| 30 | |
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| 31 | #ifndef rand_H |
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| 32 | #define rand_H |
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| 33 | |
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| 34 | //---------------------------------------------------------------------- |
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| 35 | // Basic includes |
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| 36 | //---------------------------------------------------------------------- |
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| 37 | #include <cstdlib> // standard includes (rand/random) |
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| 38 | #include <cmath> // math routines |
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| 39 | #include <ANN/ANN.h> // basic ANN includes |
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| 40 | |
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| 41 | //---------------------------------------------------------------------- |
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| 42 | // Although random/srandom is a more reliable random number generator, |
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| 43 | // many systems do not have it. If it is not available, set the |
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| 44 | // preprocessor symbol ANN_NO_RANDOM, and this will substitute the use |
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| 45 | // of rand/srand for them. |
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| 46 | //---------------------------------------------------------------------- |
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| 47 | #ifdef ANN_NO_RANDOM // for systems not having random() |
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| 48 | #define ANN_RAND rand |
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| 49 | #define ANN_SRAND srand |
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| 50 | #define ANN_RAND_MAX RAND_MAX |
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| 51 | #else // otherwise use rand() |
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| 52 | #define ANN_RAND random |
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| 53 | #define ANN_SRAND srandom |
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| 54 | #define ANN_RAND_MAX 2147483647UL // 2**{31} - 1 |
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| 55 | // #define ANN_RAND_MAX 1073741824UL // 2**{30} |
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| 56 | #endif |
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| 57 | |
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| 58 | //---------------------------------------------------------------------- |
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| 59 | // Globals |
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| 60 | //---------------------------------------------------------------------- |
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| 61 | extern int annIdum; // random number seed |
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| 62 | |
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| 63 | //---------------------------------------------------------------------- |
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| 64 | // External entry points |
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| 65 | //---------------------------------------------------------------------- |
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| 66 | |
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| 67 | void annUniformPts( // uniform distribution |
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| 68 | ANNpointArray pa, // point array (modified) |
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| 69 | int n, // number of points |
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| 70 | int dim); // dimension |
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| 71 | |
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| 72 | void annGaussPts( // Gaussian distribution |
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| 73 | ANNpointArray pa, // point array (modified) |
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| 74 | int n, // number of points |
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| 75 | int dim, // dimension |
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| 76 | double std_dev); // standard deviation |
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| 77 | |
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| 78 | void annCoGaussPts( // correlated-Gaussian distribution |
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| 79 | ANNpointArray pa, // point array (modified) |
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| 80 | int n, // number of points |
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| 81 | int dim, // dimension |
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| 82 | double correlation); // correlation |
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| 83 | |
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| 84 | void annLaplacePts( // Laplacian distribution |
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| 85 | ANNpointArray pa, // point array (modified) |
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| 86 | int n, // number of points |
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| 87 | int dim); // dimension |
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| 88 | |
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| 89 | void annCoLaplacePts( // correlated-Laplacian distribution |
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| 90 | ANNpointArray pa, // point array (modified) |
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| 91 | int n, // number of points |
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| 92 | int dim, // dimension |
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| 93 | double correlation); // correlation |
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| 94 | |
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| 95 | void annClusGaussPts( // clustered-Gaussian distribution |
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| 96 | ANNpointArray pa, // point array (modified) |
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| 97 | int n, // number of points |
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| 98 | int dim, // dimension |
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| 99 | int n_clus, // number of colors (clusters) |
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| 100 | ANNbool new_clust, // generate new cluster centers |
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| 101 | double std_dev); // standard deviation within clusters |
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| 102 | |
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| 103 | void annClusOrthFlats( // clustered along orthogonal flats |
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| 104 | ANNpointArray pa, // point array (modified) |
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| 105 | int n, // number of points |
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| 106 | int dim, // dimension |
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| 107 | int n_clus, // number of colors |
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| 108 | ANNbool new_clust, // generate new clusters. |
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| 109 | double std_dev, // standard deviation within clusters |
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| 110 | int max_dim); // maximum dimension of the flats |
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| 111 | |
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| 112 | void annClusEllipsoids( // clustered around ellipsoids |
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| 113 | ANNpointArray pa, // point array (modified) |
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| 114 | int n, // number of points |
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| 115 | int dim, // dimension |
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| 116 | int n_clus, // number of colors |
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| 117 | ANNbool new_clust, // generate new clusters. |
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| 118 | double std_dev_small, // small standard deviation |
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| 119 | double std_dev_lo, // low standard deviation for ellipses |
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| 120 | double std_dev_hi, // high standard deviation for ellipses |
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| 121 | int max_dim); // maximum dimension of the flats |
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| 122 | |
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| 123 | void annPlanted( // planted nearest neighbors |
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| 124 | ANNpointArray pa, // point array (modified) |
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| 125 | int n, // number of points |
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| 126 | int dim, // dimension |
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| 127 | ANNpointArray src, // source point array |
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| 128 | int n_src, // source size |
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| 129 | double std_dev); // standard deviation about source |
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| 130 | |
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| 131 | #endif |
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