Emanuele Olivetti wrote: > > Thanks for the pointer but the distance subpackage in cluster is about > the distance matrix of vectors in one set of vectors. So the resulting > matrix is symmetric. I need to compute distances between two > different sets of vectors (i.e. a non-symmetric distance matrix). > It is not clear to me how to use it in my case. >
You may need to extend the code, indeed (although I am more or less responsible for scipy.cluster these days, I have not looked carefully at all the code in distance yet). > Then cluster.distance offers: > 1) slow python double for loop for computing each entry of the matrix > 2) or fast C implementation (numpy/cluster/distance/src/distance.c). > > I guess I need to extend distance.c, then work on the wrapper and then > on distance.py. But after that it would be meaningless to have those > distances under 'cluster', since clustering doesn't need distances between > two sets of vectors. > FWIW, distance is deemed to move to a separate package, because distance computation is useful in other contexts than clustering. cheers, David _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
