Excellent. David said that distance computation will be moved in a separate package soon. I guess that your implementation will be the suitable one for this package. Am I wrong?
Thanks again, Emanuele Damian Eads wrote: > Hi there, > > The pdist function computes pairwise distances between vectors in a > single collection, storing the distances in a condensed distance matrix. > This is not exactly what you want--you want to compute distance > between two collections of vectors. > > Suppose XA is a m_A by n array and XB is a m_B by n array, > > M=scipy.cluster.distance.cdist(XA, XB, metric='mahalanobis') > > computes a m_A by m_B distance matrix M. The ij'th entry is the distance > between XA[i,:] and XB[j,:]. The core computation is implemented in C > for efficiency. I've committed the new function along with documentation > and about two dozen tests. > > Cheers, > > Damian > > Emanuele Olivetti wrote: > >> David Cournapeau wrote: >> >>> FWIW, distance is deemed to move to a separate package, because distance >>> computation is useful in other contexts than clustering. >>> >>> >>> >> Excellent. I was thinking about something similar. I'll have a look >> to the separate package. Please drop an email to this list when >> distance will be moved. >> >> Thanks, >> >> Emanuele >> > > ----------------------------------------------------- > Damian Eads Ph.D. Student > Jack Baskin School of Engineering, UCSC E2-479 > 1156 High Street > Santa Cruz, CA 95064 http://www.soe.ucsc.edu/~eads > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
