Hi Gael,

> followed by Cheng and Church probably.

I agree that including an algorithm that optimizes mean-square residue
would be useful. Another option would be to implement FLOC (Yang 2003; 223
citations), which enhances Cheng and Church in a number of ways: it faster,
it finds multiple biclusters simultaneously, it does not mask the data with
random noise, and it handles missing values better.

Best,
Kemal


On Mon, Apr 29, 2013 at 4:12 PM, Gael Varoquaux <
gael.varoqu...@normalesup.org> wrote:

> On Mon, Apr 29, 2013 at 09:20:24AM +0200, Kemal Eren wrote:
> > The Spectral coclustering algorithm from 2001 with 888 citations is a
> very
> > similar model to the Kluger paper from 2003, which applied the same
> concepts to
> > microarray data. I originally cited the Kluger paper only because it is
> more
> > well known in my field. I have added a link to Dhillon's paper, too.
>
> > Going by pure citations, I'd say the original Cheng and Church algorithm
> is the
> > most popular (1417 citations). In my experience, no one uses it directly
> > anymore, but it is included as a benchmark in almost every paper.
>
> I think that Spectral approach is the number one priority, because it is
> fairly easy to code (starting from our existing spectral clustering
> implementation), followed by Cheng and Church probably.
>
> G
>
>
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