I don't understand how you can get distances from this.

Foreach groupyou need a separate mean vector and covariance matrix. I'm sorry we seem to be going in cirlces here.

- Jan 6th 2011, 08:38 PMpickslides
- Jan 6th 2011, 09:00 PMaznimah
yes, its ok since you willing to spent your time answering my questions. really appreciate that.

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

thanks

Aznimah