MacFAC: FACTORIAL ANALYSIS OF CORRESPONDENCE **************************************** image # 1 : i1 image # 2 : i2 image # 3 : i3 image # 4 : i4 image # 5 : i5 image # 6 : i6 image # 1: Min=3, Max=135, Mean=95, Tot=1.548882000e+06, Wght=0.165876 image # 2: Min=27, Max=137, Mean=96, Tot=1.567963000e+06, Wght=0.167919 image # 3: Min=2, Max=139, Mean=95, Tot=1.549923000e+06, Wght=0.165987 image # 4: Min=3, Max=139, Mean=95, Tot=1.551086000e+06, Wght=0.166112 image # 5: Min=30, Max=139, Mean=96, Tot=1.569981000e+06, Wght=0.168135 image # 6: Min=3, Max=138, Mean=95, Tot=1.549778000e+06, Wght=0.165972 Trace of the covariance matrix before diagonalisation = 1 + 1.5655990e-02 Sum of the eigenvalues after diagonalisation = 1.000000 + 1.5655990e-02 Difference = -5.454621e-16 RESULTS Eigenvalues Percentage Percentage of variance total 1.0000e+00 6.9925e-03 44.66 44.66 3.4595e-03 22.10 66.76 1.7686e-03 11.30 78.06 1.7487e-03 11.17 89.23 1.6866e-03 10.77 100.00 Only the 2 first axes seem significant Coordinates of the axes on the images axe # 0: 0.407278 0.409779 0.407415 0.407568 0.410043 0.407396 axe # 1: -0.503711 -0.003145 0.502258 -0.495852 0.002371 0.498124 axe # 2: 0.284539 -0.571505 0.281296 0.295761 -0.580699 0.297668 axe # 3: -0.064555 -0.702658 0.084998 0.073224 0.694371 -0.085834 axe # 4: 0.702341 -0.067562 0.062301 -0.701679 0.056896 -0.051775 axe # 5: 0.044570 -0.084620 -0.701082 -0.053191 0.096230 0.698031 Coordinates of the images on the 5 axes image # 1: -0.103421 0.041092 -0.006666 0.072113 0.004494 image # 2: -0.000642 -0.082031 -0.072113 -0.006895 -0.008481 image # 3: 0.103088 0.040610 0.008774 0.006395 -0.070670 image # 4: -0.101735 0.042683 0.007556 -0.071994 -0.005360 image # 5: 0.000483 -0.083297 0.071217 0.005802 0.009638 image # 6: 0.102244 0.042976 -0.008861 -0.005315 0.070366 Building the factorial images: All the images have been multiplied by 52069.982374 Statistics of image test_001.AXM: Min = -32739 , Max = 32348 , Mean = 0 Statistics of image test_002.AXM: Min = -22923 , Max = 10190 , Mean = -101 Statistics of image test_003.AXM: Min = -10096 , Max = 11187 , Mean = -4 Statistics of image test_004.AXM: Min = -10952 , Max = 9227 , Mean = 2 Statistics of image test_005.AXM: Min = -10005 , Max = 12065 , Mean = 3 Building filtered images: The following axes are kept: axis 1 axis 2 and also axis 0: Statistics of image test_001.RCM: Min = 5 , Max = 129 , Mean = 94 Statistics of image test_002.RCM: Min = 35 , Max = 130 , Mean = 96 Statistics of image test_003.RCM: Min = 5 , Max = 126 , Mean = 95 Statistics of image test_004.RCM: Min = 5 , Max = 129 , Mean = 95 Statistics of image test_005.RCM: Min = 34 , Max = 131 , Mean = 96 Statistics of image test_006.RCM: Min = 4 , Max = 127 , Mean = 95 Building a fictitious image: Coordinate on axis 1: -0.103421 Coordinate on axis 2: 0.041092 Axis 0 is NOT included Normalisation: 0.170000 Statistics for this image test.FCM: Min = -69 , Max = 49 , Mean = 0 12 images have been created