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2 | /**
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3 | * Title: jsammon<p>
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4 | * Description: Java implementation of restricted sammon map algorithm<p>
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5 | * Copyright: Copyright (c) Matthew Carey & Shalini Sewraz<p>
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6 | * Company: <p>
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7 | * @author Matthew Carey & Shalini Sewraz
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8 | * @version 1.0
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9 | */
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10 | package vishnu.sammon;
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11 |
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12 | import java.io.*;
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13 | import java.util.*;
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14 | import vishnu.datablock.Point2D;
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15 |
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16 | public class Sammon
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17 | {
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18 |
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19 |
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20 | public static final double MF = 0.3; /* Magic Factor */
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21 | public static final double _MAX_Err = 0.00005; /* Max Mapping Error */
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22 | public static final int _MAX_M = 1000; /* Max Iteration Number */
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23 | public static final int _MAX_N = 1000; /* Max Number of Entries */
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24 | public static final int _MAX_L = 128; /* Max Dimension for X */
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25 |
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26 |
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27 | double[][] Xs;
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28 | double[][] Ys;
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29 | int number;
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30 | int dimension;
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31 | double total_Xs_dists;
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32 | /* SS298: Added function for scaling values between 0 and 1
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33 | * n : number of entries
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34 | */
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35 | void scale_values(int n)
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36 | {
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37 |
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38 | // get the maximum and the minimum of Ys array
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39 |
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40 | // get the maximum and the minimum of Ys array
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41 |
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42 | double maxX = Ys[0][0];
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43 | double minX = Ys[0][0];
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44 | double maxY = Ys[0][1];
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45 | double minY = Ys[0][1];
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46 |
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47 | int i;
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48 | for (i = 1 ; i < n ; i++)
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49 | {
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50 |
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51 | if (maxX < Ys[i][0]) maxX = Ys[i][0];
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52 | if (minX > Ys[i][0]) minX = Ys[i][0];
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53 | if (maxY < Ys[i][1]) maxY = Ys[i][1];
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54 | if (minY > Ys[i][1]) minY = Ys[i][1];
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55 | }
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56 | maxY -= minY;
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57 | maxX -= minX;
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58 | for (i = 0 ; i < n ; i++)
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59 | {
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60 | if (maxX > 0)
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61 | {
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62 | Ys[i][0] -= minX;
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63 | Ys[i][0] /= maxX;
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64 | Ys[i][0] *=0.8;
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65 | Ys[i][0] +=0.1;
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66 | }
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67 | else Ys[i][0]=0.5;
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68 | if (maxY > 0)
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69 | {
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70 | Ys[i][1] -= minY;
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71 | Ys[i][1] /= maxY;
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72 | Ys[i][1] *= 0.8;
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73 | Ys[i][1] += 0.1;
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74 | }
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75 | else Ys[i][1]=0.5;
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76 | }
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77 |
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78 | }
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79 |
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80 |
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81 |
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82 | /* return a Euclidean distance between two 'd'-dimensional vectors 'xs' and 'ys'
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83 | */
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84 | double eucl_dist(int d, double[] xs, double[] ys)
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85 | {
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86 | double ans=0.0;
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87 | double tmp;
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88 | int i;
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89 | for(i=0;i<d;i++)
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90 | {
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91 | tmp = xs[i]-ys[i];
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92 | ans += tmp * tmp;
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93 | }
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94 | return Math.sqrt(ans);
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95 | }
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96 |
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97 |
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98 | /* n - number of entries
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99 | * d - dimension
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100 | * post:
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101 | * return an array of eucidean distances for X
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102 | * and assign its total distance (will be used in the mapping error) to 'total'
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103 | */
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104 | double[] compute_Xs_eucl_dists()
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105 | {
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106 | double tmp[];
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107 | int i,j,k;
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108 | tmp = new double[number*(number-1)/2];
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109 |
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110 | total_Xs_dists=0.0;
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111 | k=0;
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112 | for(i=1;i<number;i++)
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113 | for(j=0;j<i;j++)
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114 | {
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115 | tmp[k] = eucl_dist(dimension, Xs[i], Xs[j]);
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116 | total_Xs_dists+=tmp[k];
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117 | k++;
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118 | }
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119 | return tmp;
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120 | }
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121 |
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122 |
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123 | public Point2D [] getMapping()
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124 | {
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125 | Point2D [] sam = new Point2D[Ys.length];
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126 | for (int c=0;c<Ys.length;c++)
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127 | {
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128 | float fx = (float) Ys[c][0];
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129 | float fy = (float) Ys[c][1];
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130 | sam[c]=new Point2D(fx,fy);
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131 | }
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132 | return sam;
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133 |
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134 | }
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135 |
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136 |
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137 |
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138 | /*----------------------------------------------------------------*/
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139 |
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140 | public Sammon(double [][] centroids)
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141 | {
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142 |
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143 | int i, j, m, p;
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144 | double[] Xs_dists;
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145 |
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146 | double dist_star,dist, alpha, beta, gamma, zeta, err;
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147 | double uppDer0, uppDer1, lowDer0, lowDer1;
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148 | double maxX=0.0;
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149 | double minX=0.0;
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150 | double maxY=0.0;
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151 | double minY=0.0;
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152 |
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153 |
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154 | number = centroids.length;
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155 | dimension = centroids[0].length;
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156 |
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157 | Xs = centroids;
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158 | Ys = new double[number][2];
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159 |
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160 |
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161 | /*
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162 | for (i=0;i<number;i++)
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163 | {
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164 | for(p=0;p<dimension;p++)
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165 | System.out.print(Xs[i][p]+" ");
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166 | System.out.println();
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167 | }
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168 | */
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169 | Xs_dists = compute_Xs_eucl_dists();
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170 |
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171 | //System.out.println("X dists length "+ Xs_dists.length);
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172 | /* ??????????????????????????????????? */
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173 |
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174 | p=0;
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175 | for (i=0;i<number;i++)
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176 | {
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177 | Ys[i][0] = Xs[i][0];
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178 | double value = Xs_dists.length>0?Xs_dists[(i==(number-1))?i:p]:
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179 | 0.0;
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180 | Ys[i][1] = Xs[i][0]+value;
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181 | p+=(number-(i+1));
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182 | }
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183 |
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184 | m=0; /* iteration counter */
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185 | do{
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186 |
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187 | for(p=0;p<number;p++)
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188 | {
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189 | uppDer0=uppDer1=lowDer0=lowDer1=0.0;
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190 | /* calcuate partial derivatives */
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191 | for(j=0;j<number;j++)
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192 | {
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193 | if (p==j) continue;
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194 | dist_star = Xs_dists[(j>p) ? (j*(j-1)/2+p) : (p*(p-1)/2+j)];
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195 |
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196 | dist = eucl_dist(2,Ys[p],Ys[j]);
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197 | if (dist == 0) dist = 0.00001;
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198 | alpha = dist_star-dist;
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199 | beta = dist_star*dist;
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200 | if (beta == 0) beta = 0.00000000000001;
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201 | gamma = alpha/beta;
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202 |
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203 | /* 1st dimension */
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204 | zeta = Ys[p][0]-Ys[j][0];
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205 | uppDer0 += gamma * zeta;
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206 | lowDer0 += (alpha-(zeta*zeta/dist) * (1+alpha/dist))/beta;
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207 |
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208 | /* 2nd dimension */
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209 | zeta = Ys[p][1]-Ys[j][1];
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210 | uppDer1 += gamma * zeta;
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211 | lowDer1 += (alpha-(zeta*zeta/dist) * (1+alpha/dist))/beta;
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212 | } /* for */
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213 |
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214 | Ys[p][0] = Ys[p][0]+MF*uppDer0/Math.abs(lowDer0);
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215 | Ys[p][1] = Ys[p][1]+MF*uppDer1/Math.abs(lowDer1);
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216 | if(p==0)
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217 | {
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218 | maxX = Ys[0][0];
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219 | minX = Ys[0][0];
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220 | maxY = Ys[0][1];
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221 | minY = Ys[0][1];
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222 | }
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223 | else
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224 | {
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225 | if (maxX < Ys[p][0]) maxX = Ys[p][0];
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226 | if (minX > Ys[p][0]) minX = Ys[p][0];
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227 | if (maxY < Ys[p][1]) maxY = Ys[p][1];
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228 | if (minY > Ys[p][1]) minY = Ys[p][1];
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229 | }
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230 |
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231 |
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232 | } /* for */
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233 |
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234 | /* calcuate the mapping error */
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235 | err=0.0;
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236 | p=0;
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237 | for(j=1;j<number;j++)
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238 | for(i=0;i<j;i++)
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239 | {
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240 | dist_star = Xs_dists[p++];
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241 | alpha = dist_star - eucl_dist(2,Ys[j],Ys[i]);
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242 | err += (alpha*alpha/dist_star);
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243 | }
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244 | err=err / total_Xs_dists;
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245 |
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246 | m++;
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247 | } while ((err>_MAX_Err) && (m!=_MAX_M));
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248 | // This is ugly desperate measures
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249 | if(maxY==minY)
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250 | {
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251 | System.out.println("Warning: simulated 'y' values in mapping");
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252 | for(p=0;p<number;p++)
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253 | Ys[p][1]=Math.random();
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254 | }
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255 | if(maxX==minX)
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256 | {
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257 | System.out.println("Warning: simulated 'x' values in mapping");
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258 | for(p=0;p<number;p++)
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259 | Ys[p][0]=Math.random();
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260 | }
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261 |
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262 | scale_values(number);
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263 |
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264 |
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265 | /*for(i=0;i<number;i++)
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266 | System.out.println(Ys[i][0] + " " + Ys[i][1]);
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267 |
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268 | System.out.println();
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269 | System.out.println();*/
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270 | }
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271 | }
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