Hi Mathieu,

Thanks for your feedback. I have been making revisions to my draft,
including changes to address your comments. If you have any more
suggestions I would be glad to hear them.

Regarding nimfa: I was suggesting using it as a dependency, not copying and
pasting their code. Is that not a possibility?

Best regards,
Kemal


On Sun, Apr 28, 2013 at 5:31 PM, Mathieu Blondel <math...@mblondel.org>wrote:

> Hi Kemal,
>
> Below a few comments.
>
> - Please describe in more details what is biclustering and why it is
> important. A figure would be nice.
> - Can you indicate the citation count of the reference papers you mention?
> The higher, the better...
> - Binarization is already supported in scikit-learn.
> - Missing value imputation is also part of Nicolas Trésegnie's proposal
> on matrix completion. You guys should talk.
> - nimfa is a GPL package: you cannot reuse this code in scikit-learn.
> - Elaborate the data generation and evaluation parts and why you need 3
> weeks for that.
> - Give a code snippet to show how using your implemented algorithms would
> look like (this will also demonstrate compatibility with our APIs).
> - Tests and examples should be written at the same time as you implement
> the algorithms (not at the end of the GSOC).
>
> Mathieu
>
> On Sun, Apr 28, 2013 at 10:40 PM, Kemal Eren <ke...@kemaleren.com> wrote:
>
>> Hi scikit-learn team,
>>
>> As discussed in another thread, I have put together a draft of my
>> proposal to add biclustering algorithms this summer. Here is the link:
>>
>>
>> https://docs.google.com/document/d/17v1r5gqnMA6ExmYYxOSBWjfAdQiCc7-Gjm4O_8QtTJs/edit?usp=sharing
>>
>> Any suggestions are welcome.
>>
>> Best regards,
>> Kemal Eren
>>
>>
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