[Numpy-discussion] Faster

[Hoyt Koepke]

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.

--Hoyt

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.
>
>
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-- 
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Hoyt Koepke
UBC Department of Computer Science
http://www.cs.ubc.ca/~hoytak/
hoytak@gmail.com
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