[DB] Importing KNNL library
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/*
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* Copyright (c) 2006, Seweryn Habdank-Wojewodzki
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* Copyright (c) 2006, Janusz Rybarski
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*
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* All rights reserved.
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*
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* Redistribution and use in source and binary forms,
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* with or without modification, are permitted provided
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* that the following conditions are met:
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*
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* Redistributions of source code must retain the above
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* copyright notice, this list of conditions and the
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* following disclaimer.
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*
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* Redistributions in binary form must reproduce the
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* above copyright notice, this list of conditions
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* and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS
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* AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED
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* WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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* A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL
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* THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY
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* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF
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* USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
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* HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
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* WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY
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* WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED
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* OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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/*
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* e-mail: habdank AT gmail DOT com
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* e-mail: janusz.rybarski AT gmail DOT com
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*
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* File created: Fri 14 Apr 2006 22:42:31 CEST
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* Last modified: Wed 08 Aug 2007 18:21:06 CEST
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*/
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#ifndef EUCLIDEAN_DISTANCE_FUNCTION_HPP_INCLUDED
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#define EUCLIDEAN_DISTANCE_FUNCTION_HPP_INCLUDED
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#include <numeric>
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#include "operators.hpp"
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#include "basic_weak_distance_function.hpp"
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#include "value_type.hpp"
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/**
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* \file euclidean_distance_function.hpp
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* \brief File contains template class Euclidean_distance_function.
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* \ingroup distance
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*/
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namespace distance
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{
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/**
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* \addtogroup distance
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*/
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/*\@{*/
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/**
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* Euclidean_distance_function template class.
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* \param Value_type is a type of values.
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* \f[
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* d (x,y) = \sum\limits_{i=0}^{N} cdot (x_i-y_i)^2
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* \f]
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*/
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template
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<
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typename Value_type
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>
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class Euclidean_distance_function
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: public Basic_weak_distance_function
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<
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Value_type,
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Value_type
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>
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{
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public:
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/**
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* Constructor.
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*/
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Euclidean_distance_function()
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{}
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/**
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* Calculation function.
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* \param x first input value for the function.
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* \param y second input value for the function.
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* \return square of the Euclidean distance function.
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* \f[
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* d (x,y) = \sum\limits_{i=0}^{N} cdot (x_i-y_i)^2
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* \f]
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*/
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typename Value_type::value_type operator()
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(
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Value_type const & x,
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Value_type const & y
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) const
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{
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return
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(
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euclidean_distance_square
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(
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x.begin(),
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x.end(),
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y.begin(),
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static_cast < typename Value_type::value_type const & > ( 0 )
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)
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);
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}
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private:
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typedef typename Value_type::value_type inner_type;
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/**
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* Function calculates Euclidean distance between two containers.
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* \param begin_1 is a begin iterator for the first container.
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* \param end_1 is an end iterator for the first container.
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* \param begin_2 is an begin iterator for the second container.
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* \param init is an initial value.
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* \result sqare of Euclidean distance.
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*/
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inner_type euclidean_distance_square
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(
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typename Value_type::const_iterator begin_1,
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typename Value_type::const_iterator end_1,
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typename Value_type::const_iterator begin_2,
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inner_type const & init
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) const
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{
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return ::std::inner_product
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(
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begin_1, end_1, begin_2,
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static_cast < inner_type > ( init ),
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::std::plus < inner_type >(),
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::operators::compose_f_gxy_gxy
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(
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::std::multiplies < inner_type >(),
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::std::minus < inner_type >()
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)
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);
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}
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};
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/*\@}*/
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} // namespace distance
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#endif // EUCLIDEAN_DISTANCE_FUNCTION_HPP_INCLUDED
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