mirror of https://github.com/CGAL/cgal
82 lines
2.0 KiB
C++
82 lines
2.0 KiB
C++
// Copyright (c) 2018 GeometryFactory Sarl (France).
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// All rights reserved.
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//
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// This file is part of CGAL (www.cgal.org).
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// You can redistribute it and/or modify it under the terms of the GNU
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// General Public License as published by the Free Software Foundation,
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// either version 3 of the License, or (at your option) any later version.
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//
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// Licensees holding a valid commercial license may use this file in
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// accordance with the commercial license agreement provided with the software.
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//
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// This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
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// WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
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//
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// $URL$
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// $Id$
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// SPDX-License-Identifier: GPL-3.0+
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//
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// Author(s) : Simon Giraudot
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#ifndef CGAL_CLASSIFICATION_FEATURE_CLUSTER_SIZE_H
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#define CGAL_CLASSIFICATION_FEATURE_CLUSTER_SIZE_H
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#include <CGAL/license/Classification.h>
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#include <vector>
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#include <CGAL/Classification/Feature_base.h>
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namespace CGAL {
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namespace Classification {
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namespace Feature {
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/*!
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\ingroup PkgClassificationCluster
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\brief %Feature that returns the size of each cluster.
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Its default name is "cluster_size".
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*/
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class Cluster_size : public CGAL::Classification::Feature_base
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{
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std::vector<float> m_values;
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public:
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/*!
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\brief Constructs the feature.
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\tparam ClusterRange model of `ConstRange`. Its iterator type
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is `RandomAccessIterator` and its value type is the key type of
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`Cluster`.
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\param clusters input range.
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*/
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template <typename ClusterRange>
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Cluster_size (ClusterRange& clusters)
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{
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this->set_name ("cluster_size");
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m_values.reserve (clusters.size());
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for (std::size_t i = 0; i < clusters.size(); ++ i)
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m_values.push_back (float(clusters[i].size()));
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}
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/// \cond SKIP_IN_MANUAL
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virtual float value (std::size_t cluster_index)
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{
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return m_values[cluster_index];
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}
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/// \endcond
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};
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} // namespace Feature
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} // namespace Classification
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} // namespace CGAL
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#endif // CGAL_CLASSIFICATION_FEATURE_CLUSTER_SIZE_H
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