i clarify it more details:
i have 20 dataset of Diamond Shape. Since the Diamond shape has 4 vertex points or corner points, therefore it will be 4 coordinates (x,y), you can see in my image attachment link here :http://www.freeimagehosting.net/imag...ee8068dc6a.png
my comparison using mahalanobis distance would be between Group A (reference image coordinate) and Group B (user image coordinate)
each group have same size of variable=refering to numbers of column (x,y)
but having a different number of row (vertex coordinate) since i applied masking on reference image coordinate
so make the data
36 coordinate (x,y) Group A (referEnce image)
4 coordinate (x,y) Group A (User image)
then i calculate the mahalanobis distance between 2 groups by refering on this site : Mahalanobis Distance
the overall, i will have 20 dataset which have 20 results of mahalanobis distance as i place on thik image : http://www.freeimagehosting.net/imag...a01a1d65e8.png
please ignore the coordinate (x1,y1) and (x2,y2) on the image, just i want to show the mahalanobis distance for every diamond shape.
what i need to do is, how can i measure in term of percentage that each result of mahalanobis distance that i get earlier into example 69%, 80%?
or there is another way that i can interprate the mahalanobis distance value to be conclude?
thank you so much for your patience in answering my questions