[R] Distance between sets of points in transformed environmental space

[Charlotte Maia]

Hi Corrado,

I was thinking about this some more.

Maybe you could use a linear discriminate, i.e. a (hyper)plane that
partitions your points into two sets, such that the misclassification
rate is minimised.

Closeness could be regarded as the number of misclassified points.
Two sets would be distant, if no points are misclassified.

I am assuming there is a standard function in R to do this, no idea
what it is though. Plus this is a reasonably well known technique.

Again the size of the sets needs to be accounted for.
As well as the question, does the distance of set A from B, need to be
the same as the distance of set B from A. Both the nearest neighbour
approach and the discriminant approach, don't necessarily satisfy this
condition.

regards
-- 
Charlotte Maia
http://sites.google.com/site/maiagx/home