H, Eren,
Just FYI, Wikipedia treats bi-clustering and co-clustering as the same
algorithm. And the name "co-clustering" is more popular in my opinion. This
paper describe the most well-known co-clustering algorithm and has 888
citations: Co-clustering documents and words using bipartite spectral graph
partitioning.
On Mon, Apr 29, 2013 at 1:15 AM, Kemal Eren <ke...@kemaleren.com> wrote:
> 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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--
Best Wishes
--------------------------------------------
Meng Xinfan（蒙新泛）
Institute of Computational Linguistics
Department of Computer Science & Technology
School of Electronic Engineering & Computer Science
Peking University
Beijing, 100871
China
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