source: trunk/yat/utility/WeNNI.h @ 767

Last change on this file since 767 was 767, checked in by Peter, 15 years ago

Fixes #65

  • Property svn:eol-style set to native
  • Property svn:keywords set to Author Date Id Revision
File size: 2.0 KB
Line 
1#ifndef _theplu_yat_utility_wenni_
2#define _theplu_yat_utility_wenni_
3
4// $Id: WeNNI.h 767 2007-02-22 15:14:40Z peter $
5
6/*
7  Copyright (C) 2004 Jari Häkkinen
8  Copyright (C) 2005 Peter Johansson
9  Copyright (C) 2006 Jari Häkkinen
10
11  This file is part of the yat library, http://lev.thep.lu.se/trac/yat
12
13  The yat library is free software; you can redistribute it
14  and/or modify it under the terms of the GNU General Public License
15  as published by the Free Software Foundation; either version 2 of
16  the License, or (at your option) any later version.
17
18  The yat library is distributed in the hope that it will be
19  useful, but WITHOUT ANY WARRANTY; without even the implied warranty
20  of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
21  General Public License for more details.
22
23  You should have received a copy of the GNU General Public License
24  along with this program; if not, write to the Free Software
25  Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
26  02111-1307, USA.
27*/
28
29#include "NNI.h"
30#include "matrix.h"
31
32#include <iostream>
33
34namespace theplu {
35namespace yat {
36namespace utility {
37
38  ///
39  /// @brief Weighted Nearest Neighbour Imputation
40  ///
41  /// WeNNI is a continuous weights generalization of the (binary
42  /// weights) kNNI algorithm presented by Troyanskaya et al. A
43  /// reference to this paper is found in the NNI document referred to
44  /// in the NNI class documentation. The NNI document also describes
45  /// WeNNI in depth.
46  ///
47  /// @see NNI and kNNI
48  ///
49  class WeNNI : public NNI
50  {
51  public:
52    ///
53    /// Constructor
54    ///
55    WeNNI(const utility::matrix& matrix,const utility::matrix& weight,
56          const u_int neighbours);
57
58    ///
59    /// Perform WeNNI on data in \a matrix with continuous uncertainty
60    /// weights in \a weight using \a neighbours for the new impute
61    /// value.
62    ///
63    u_int estimate(void);
64
65    ///
66    /// @return A const reference to imputed_data_raw.
67    ///
68    const utility::matrix& imputed_data_raw(void) const 
69    { return imputed_data_raw_; }
70
71
72  private:
73
74    utility::matrix imputed_data_raw_;
75  };
76
77}}} // of namespace utility, yat, and theplu
78
79#endif
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