# source:trunk/yat/statistics/euclidean_distance.h@1050

Last change on this file since 1050 was 1050, checked in by Peter, 15 years ago

Simplifying distance structure

• Property svn:eol-style set to `native`
• Property svn:keywords set to `Id`
File size: 1.9 KB
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1#ifndef theplu_yat_statistics_euclidean_distance_h
2#define theplu_yat_statistics_euclidean_distance_h
3
4// \$Id: euclidean_distance.h 1050 2008-02-07 18:47:34Z peter \$
5
6/*
7  Copyright (C) 2007 Peter Johansson, Markus Ringnér
8  Copyright (C) 2008 Peter Johansson
9
10  This file is part of the yat library, http://trac.thep.lu.se/yat
11
12  The yat library is free software; you can redistribute it and/or
13  modify it under the terms of the GNU General Public License as
14  published by the Free Software Foundation; either version 2 of the
15  License, or (at your option) any later version.
16
17  The yat library is distributed in the hope that it will be useful,
18  but WITHOUT ANY WARRANTY; without even the implied warranty of
19  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
20  General Public License for more details.
21
22  You should have received a copy of the GNU General Public License
23  along with this program; if not, write to the Free Software
24  Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
25  02111-1307, USA.
26*/
27
28#include "AveragerPair.h"
29#include "AveragerPairWeighted.h"
30#include "yat/utility/iterator_traits.h"
31
32#include <cmath>
33
34namespace theplu {
35namespace yat {
36namespace statistics {
37
38  struct EuclideanDistance
39  {
40    template <typename Iter1, typename Iter2>
41    double operator()
42    (Iter1 beg1,Iter1 end1, Iter2 beg2) const
43    {
44      return this->distance(beg1, end1, beg2,
45                      typename utility::weighted_if_any2<Iter1,Iter2>::type());
46    }
47
48  private:
49    template <typename Iter1, typename Iter2>
50    double distance (Iter1 beg1,Iter1 end1, Iter2 beg2,
51                     utility::unweighted_type) const
52    {
53      AveragerPair ap;
55      return sqrt(ap.sum_squared_deviation());
56    }
57
58    template <typename Iter1, typename Iter2>
59    double distance (Iter1 beg1,Iter1 end1, Iter2 beg2,
60                     utility::weighted_type) const
61    {
62      AveragerPairWeighted ap;