[Campaign-news] Smoke Test

[whsu at sfsu.edu]

I assume Kai probably has a small test data set that he uses?  
k-centers can probably be deterministic if we fix the initial seed  
cluster, and have a tie-breaking mechanism for data points that are  
equi-distant from two clusters (there might be something in Kai's code  
already). I need to spend a bit more time with the k-means code...

Bill

Quoting Marc Sosnick <marcsosnick at mac.com>:

> Kai, Bill:
>
> Before I post to the software repository, I want to have the initial
> reorganization of the system completed.  To do this I will be rewriting
> all the scripts in PERL and normalizing the deployment process.
>
> To be in compliance with standard SE practices, we should have some
> sort of smoke test against which we can test so that we don't post
> non-working code to the library.  I was wondering if either of you had
> a good idea as to what that smoke test could entail?  Perhaps a known
> dataset and algorithm against which we could test?  Of course, it would
> mean that whatever we choose, the result must be deterministic.
>
> I look forward to your ideas...
>
> Thanks!
>
> Marc_______________________________________________
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