[Numpy-discussion] Faster

Hoyt Koepke hoytak@gmail....
Sat May 3 01:51:33 CDT 2008

You know, for linkage clustering and BHC, I've found it a lot easier
to work with an intermediate 1d map of indices and never resize the
distance matrix.  I then just remove one element from this map at each
iteration, which is a LOT faster than removing a column and a row from
a matrix.  if idxmap were the map, you would be working with
X[idxmap[i], idxmap[j] ] instead of X[i, j].  Also, you could even use
a python list in this case, as they are a lot better for deletions
than an array.


On Fri, May 2, 2008 at 5:47 PM, Keith Goodman <kwgoodman@gmail.com> wrote:
> On Fri, May 2, 2008 at 5:38 PM, Charles R Harris
>  <charlesr.harris@gmail.com> wrote:
>  > On Fri, May 2, 2008 at 6:24 PM, Keith Goodman <kwgoodman@gmail.com> wrote:
>  > > How can I make this function faster? It removes the i-th row and
>  > > column from an array.
>  > >
>  >
>  > Why do you want to do that?
>  Single linkage clustering; x is the distance matrix.
> _______________________________________________
>  Numpy-discussion mailing list
>  Numpy-discussion@scipy.org
>  http://projects.scipy.org/mailman/listinfo/numpy-discussion

Hoyt Koepke
UBC Department of Computer Science

More information about the Numpy-discussion mailing list