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

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 dista

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

Thanks Mario! (Oppure grazie Mario?) - Can those silhouette coefficients be used for distances between sets or only for distances point to set? - Where did you get the other post you attached? It did not come up when I searched the mailing list! Best, On Tuesday 01 December 2009 10:31:47 Ma

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

silhouette coefficients? It measure for each point how similar is to its cluster other points and how dissimilar from the points of other clusters. P.N. Tam, M. Steinbach, V. Kumar, Introduction to data mining, Addison-Wesley, 2006 page 541 Hope it helps. mario Charlott

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

Well, here's another naive post from me (hopefully better than the last one). Firstly I'm not sure computing euclidean distance is that simple. I would assume temperatures and precipitation would need to be standardised in some way. I think the notion of how far away something is, and how distinc

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

Dear friends, I have several sets of points in a transformed environmental space. Each set of points can be represented as a cloud in the environmental space. This space is spanned by n coordinates, corresponding to the first n PCs of 36 PCs of some environmental variables (12 monthly minimum t