Last change
on this file since 178 was
178,
checked in by Jari Häkkinen, 19 years ago
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Fixed minor documentation issues and performed spell checking.
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Property svn:eol-style set to
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Property svn:keywords set to
Author Date Id Revision
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File size:
1.1 KB
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1 | // $Id: kNNI.h 178 2004-10-01 09:24:13Z jari $ |
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2 | |
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3 | #ifndef _theplu_cpptools_knni_ |
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4 | #define _theplu_cpptools_knni_ |
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5 | |
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6 | #include "NNI.h" |
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7 | |
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8 | #include <iostream> |
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9 | #include <vector> |
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10 | |
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11 | namespace theplu { |
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12 | namespace cpptools { |
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13 | |
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14 | /// |
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15 | /// kNNI is the binary weight implementation of NNI. This follows |
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16 | /// the work done by Troyanskaya et al. cited in the NNI document |
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17 | /// referred to in the NNI class documentation. |
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18 | /// |
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19 | /// This is a special case of the WeNNI, but is maintained since it |
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20 | /// is faster than the more general WeNNI. |
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21 | /// |
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22 | /// @see NNI and WeNNI |
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23 | /// |
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24 | class kNNI : public NNI |
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25 | { |
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26 | public: |
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27 | /// Perform kNNI on data in \a matrix with binary uncertainty |
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28 | /// weights in \a weight using \a neighbours for the new impute |
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29 | /// value. |
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30 | /// |
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31 | /// @note The algorithm is initiated within the constructor and |
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32 | /// the result is fetched with the NNI::imputed_data method. |
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33 | kNNI(const gslapi::matrix& matrix,const gslapi::matrix& weight, |
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34 | const u_int neighbours); |
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35 | |
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36 | private: |
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37 | void estimate(void); |
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38 | |
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39 | vector<u_int> mv_rows_; // index to rows that have values to estimate |
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40 | }; |
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41 | |
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42 | }} // of namespace cpptools and namespace theplu |
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43 | |
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44 | #endif |
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