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Kohonen's Self Organizing Maps in C++ with Application in Computer Vision Area

, 20 Nov 2007 GPL3
The article demonstrates the self organizing maps clustering approach for unsupervised AI classification tasks with application examples in computer vision area for faces clustering and recognition
// stdafx.h : include file for standard system include files,
// or project specific include files that are used frequently, but
// are changed infrequently

#pragma once
#pragma warning(disable : 4996)

#include <iostream>
#include <tchar.h>

// TODO: reference additional headers your program requires here
#include <windows.h>
#include <stdio.h>
#include <math.h>
#include <wchar.h>
#include <conio.h>
#include <time.h>
#include <float.h>

#include <vector>
#include <algorithm>

using namespace std;

#include <mm3dnow.h>

typedef struct _entry {
        float *vec;                //vector
        int size;                  //vector size
        wchar_t fname[_MAX_PATH];  //vector file name
        int cls;                   //vector class

typedef struct _rec {
        vector<PENTRY> entries;         //rec entries
        vector< vector<int> > indices;  //2D array of classes indices
        vector<int> clsnum;             //classes numbers of indeces columns

   2D type array

    [entry ... vec ...]   (+ size,fname,class type)
    [entry ... vec ...]
    [entry ... vec ...]
    [entry ... vec ...]
    N = rec.size()

    individual point - rec.entries[y].vec[x]

    indices to y axis of entries vector
     vector<int> x0;  vector<int> x1; vector<int> x2; ... vector<int> xClassesNum

    clsnum[0],clsnum[1], ... clsnum[N]
      [x0][x1][x2][x3] ... [xN]    N different classes
      [x0][x1][x2][x3] ... [xN]
      [x0][x1][x2][x3] ... [xN]

      rec->clsnum[] =   3, 1, 2    <--  1D vector

                        0  1  8    <--  rec->indices[x].at(y)  2D array
                       10  5  9
                        3  2
                        4  6


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This article, along with any associated source code and files, is licensed under The GNU General Public License (GPLv3)


About the Author

Chesnokov Yuriy
Russian Federation Russian Federation
No Biography provided

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