[SciPy-Dev] splitting an ordered list as evenly as possilbe
Wed Aug 25 09:32:24 CDT 2010
On Wed, Aug 25, 2010 at 7:19 AM, John Hunter <firstname.lastname@example.org> wrote:
> On Wed, Aug 25, 2010 at 9:10 AM, Keith Goodman <email@example.com> wrote:
>> How about using the percentiles of np.unique(x)? That takes care of
>> the first constraint (no overlap) but ignores the second constraint
>> (min std of cluster size).
> Well, I need the 2nd constraint....
Both can't be hard constraints, so I guess the first step is to define
a utility function that quantifies the trade off between the two.
Would it make sense to then start from the percentile(unique(x), ...)
solution and come up with a heuristic that moves an item with lots of
repeats in a large length quintile to a short lenght quintile and then
accept the moves if it improves the utility? Or try moving each item
to each of the other 4 quintiles and do the move the improves the
utility the most. Then repeat until the utility doesn't improve. But I
guess I'm just stating the obvious and you are looking for something
less obvious and more clever.
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