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DBSCANT_impl.hh
1/*===========================================================================*\
2 * *
3 * OpenFlipper *
4 * Copyright (c) 2001-2015, RWTH-Aachen University *
5 * Department of Computer Graphics and Multimedia *
6 * All rights reserved. *
7 * www.openflipper.org *
8 * *
9 *---------------------------------------------------------------------------*
10 * This file is part of OpenFlipper. *
11 *---------------------------------------------------------------------------*
12 * *
13 * Redistribution and use in source and binary forms, with or without *
14 * modification, are permitted provided that the following conditions *
15 * are met: *
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18 * this list of conditions and the following disclaimer. *
19 * *
20 * 2. Redistributions in binary form must reproduce the above copyright *
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28 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS *
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39 * *
40\*===========================================================================*/
41
42#include <queue>
43
44namespace ACG {
45namespace Algorithm {
46
47namespace _DBSCAN_PRIVATE {
48
49template<typename VALUE_TYPE>
51 public:
52 inline double operator()(VALUE_TYPE it) const {
53 return 1.0;
54 }
55};
56
57template<typename INPUT_ITERATOR, typename WEIGHT_FUNC>
58inline double neighborhoodWeight(INPUT_ITERATOR first, const INPUT_ITERATOR last, WEIGHT_FUNC &weight_func) {
59 double result = 0;
60 for (; first != last; ++first)
61 result += weight_func(**first);
62 return result;
63}
64
65/*
66 * Private functions.
67 */
68template<typename INPUT_ITERATOR, typename DISTANCE_FUNC, typename OUTPUT_ITERATOR>
69inline
70void region_query(INPUT_ITERATOR first, const INPUT_ITERATOR last, const INPUT_ITERATOR center,
71 DISTANCE_FUNC &distance_func, OUTPUT_ITERATOR result, const double epsilon) {
72
73 for (; first != last; ++first) {
74 if (center == first) continue;
75 if (distance_func(*center, *first) <= epsilon) {
76 *result++ = first;
77 }
78 }
79}
80
81
82template<typename INPUT_ITERATOR, typename DISTANCE_FUNC, typename WEIGHT_FUNC>
83inline
84void expand_cluster(INPUT_ITERATOR first, const INPUT_ITERATOR last, const INPUT_ITERATOR center,
85 DISTANCE_FUNC &distance_func, const double epsilon, const double n_min,
86 std::vector<int> &id_cache, const int current_cluster_id, WEIGHT_FUNC &weight_func) {
87
88
89 std::queue<INPUT_ITERATOR> bfq;
90 bfq.push(center);
91
92 id_cache[std::distance(first, center)] = current_cluster_id;
93
94 std::vector<INPUT_ITERATOR> neighborhood; neighborhood.reserve(std::distance(first, last));
95
96 while (!bfq.empty()) {
97
98 INPUT_ITERATOR current_element = bfq.front();
99 bfq.pop();
100
101 /*
102 * Precondition: id_cache[current_idx] > 0
103 */
104
105 neighborhood.clear();
106 region_query(first, last, current_element, distance_func, std::back_inserter(neighborhood), epsilon);
107
108 /*
109 * If the current element is not inside a dense area,
110 * we don't use it as a seed to expand the cluster.
111 */
112 if (neighborhoodWeight(neighborhood.begin(), neighborhood.end(), weight_func) < n_min)
113 continue;
114
115 /*
116 * Push yet unvisited elements onto the queue.
117 */
118 for (typename std::vector<INPUT_ITERATOR>::iterator it = neighborhood.begin(), it_end = neighborhood.end();
119 it != it_end; ++it) {
120 const size_t neighbor_idx = std::distance(first, *it);
121 /*
122 * Is the element classified as non-noise, yet?
123 */
124 if (id_cache[neighbor_idx] <= 0) {
125 /*
126 * Classify it and use it as a seed.
127 */
128 id_cache[neighbor_idx] = current_cluster_id;
129 bfq.push(*it);
130 }
131 }
132 }
133}
134
135} /* namespace _DBSCAN_PRIVATE */
136
137} /* namespace Algorithm */
138} /* namespace ACG */
Namespace providing different geometric functions concerning angles.