M3C2_GaussMean_statistical-parameters
Posted: Tue Nov 22, 2022 8:17 am
Hi everyone,
I am comparing different cloud with the M3C2 Algorithm and I try to show the comparability by asigning a Gaussian distribution. I am a little bit confused by the results. The peak of the Gaussian curve should normally represent the mean value, right? In the graphic that I attached (file 2) it seems that in CC the peak value of the curve and the calculated value (Gauss mean) are not the same (Gauss mean -0,183674, Peak value at around -0,8). How is CC calculating the Gauss mean value (and the std. dev.)? Is this different from the mean value of the sum of all the M3C2 distances devided by all the values?
I exported the values and reproduced the curve with the Gauss mean and std. dev. from CC. As a result the Gauss curve lays way off (file 1).
Best regards
Michael
I am comparing different cloud with the M3C2 Algorithm and I try to show the comparability by asigning a Gaussian distribution. I am a little bit confused by the results. The peak of the Gaussian curve should normally represent the mean value, right? In the graphic that I attached (file 2) it seems that in CC the peak value of the curve and the calculated value (Gauss mean) are not the same (Gauss mean -0,183674, Peak value at around -0,8). How is CC calculating the Gauss mean value (and the std. dev.)? Is this different from the mean value of the sum of all the M3C2 distances devided by all the values?
I exported the values and reproduced the curve with the Gauss mean and std. dev. from CC. As a result the Gauss curve lays way off (file 1).
Best regards
Michael