Great, I will look to implement TCIE then and get back in touch when I have
some finalized code. Ideally I will try and structure it so that it
integrates the small additional step as an improvement to the existing
algorithms, rather than creating it as a standalone function.
Best,
Daniel
On Thu
Hi,
TCIE is interesting because it's the small additional step that is relevant
IMHO. With this additional step, you can build Sammon mapping on top of it
(basically just switch step 4 for Sammon optimization). I would cite here
my paper on different cost functions
https://www.researchgate.net/pub
Thank you Matthieu and Olivier for your help.
It sounds like, based on what Olivier said, that a good approach would be
for me to implement the algorithms in a way that ensures compatibility with
scikit-learn and then submit them for consideration for inclusion once they
are fully completed.
Matt
Hi Daniel,
I think in the original scikit pull request on my PhD thesis almost 10
years ago, there may have been some Sammon mapping code. IIRC, the mapping
is really crude and not robust. I think there are other cost functions for
dimensionality reduction that are far more efficient and do not ha
I would advise you to first implement those 2 new estimators outside
of the scikit-learn code-base to not suffer from delays imposed by the
scikit-learn review process (that lacks man-power). But if you follow
strictly the scikit-learn code conventions and in particular the
convention for making es
Hi All,
My name is Daniel McNeela, and I am a student at UC Berkeley participating
in Google Summer of Code 2016. I am working on the Fovea project under the
umbrella of the International Neuroinformatics Coordinating Facility. The
abstract for my project can be found here:
https://summerofcode.wi
