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[WIP] K-means #106

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[WIP] K-means #106

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jbarnoud
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@jbarnoud jbarnoud commented Dec 2, 2015

To do:

  • convert the old API calls to the new ones
  • write unit tests
  • write the command line interface
  • document the API
  • document the CLI

@jbarnoud jbarnoud self-assigned this Dec 2, 2015
@jbarnoud jbarnoud added this to the 1.3 milestone Dec 2, 2015
@jbarnoud jbarnoud force-pushed the kmeans branch 3 times, most recently from 592a689 to e604336 Compare December 6, 2015 11:20
@HubLot HubLot mentioned this pull request Dec 14, 2015
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@pierrepo
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pierrepo commented Apr 8, 2016

Dear @jbarnoud and @HubLot can you please complete this PR?

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HubLot commented Apr 8, 2016

I can manage the integration of the k-means into PBxplore (and documentation).
But before that, I have to know if the k-means implementation is correct and finished.

@jbarnoud
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jbarnoud commented Apr 8, 2016

I'll do it. I got stuck at testing if the implementation is correct as I
do not really have a reference to compare with.

On 08-04-16 13:58, Hub wrote:

I can manage the integration of the k-means into PBxplore (and
documentation).
But before that, I have to know if the k-means implementation is
correct and finished.


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#106 (comment)

@alexdb27
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alexdb27 commented Apr 8, 2016

simulated data do not work ?

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jbarnoud commented Apr 8, 2016

I got stuck at finding simulated data that were not too artificial to be
relevant. I'll have a new look at this this week-end.

On 08-04-16 14:27, Alexandre G. de Brevern wrote:

simulated data do not work ?


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#106 (comment)

@alexdb27
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alexdb27 commented Apr 8, 2016

you have not simulated data ?

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jbarnoud commented Apr 8, 2016

I did some tests. I'll have to go back to it.

On 08-04-16 14:33, Alexandre G. de Brevern wrote:

you have not simulated data ?


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#106 (comment)

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pierrepo commented Apr 8, 2016

Maybe if your implementation gives similar results to what is obtained with scikit-learn (http://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html) it should be ok?

@jbarnoud
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jbarnoud commented Apr 8, 2016

On 08/04/16 15:14, Pierre Poulain wrote:

Maybe if your implementation gives similar results to what is obtained
with scikit-learn
(http://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html)
it should be ok?


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#106 (comment)

No because I used completely different definitions for the centers and
the distances.

@pierrepo pierrepo modified the milestones: 1.4, 1.3 Apr 8, 2016
jbarnoud added 3 commits April 9, 2016 10:46
Introduce a new module in analysis. That module was written pre-API
redesign so it refers to old construct and cannot work.

The module is added to the doc.

Some unit tests are introduced on the module.
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Hi @jbarnoud Could you have a look to this WIP?

@alexdb27
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hello, how is it ?

@pierrepo
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After discussion with @jbarnoud We probably keep this feature for another release of PBxplore.
@jbarnoud is it possible to remove all trace of clustering from the master branch?

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On 27/06/16 18:56, Pierre Poulain wrote:

After discussion with @jbarnoud https://github.com/jbarnoud We
probably keep this feature for another release of PBxplore.
@jbarnoud https://github.com/jbarnoud is it possible to remove all
trace of clustering from the master branch?


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#106 (comment),
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It is in my TODO list for tomorrow. In a miraculous universe where I
manage to follow my plans, there should be a PR very soon.

By the way, this PR is a working tool. You can play with it if PBkmeans
if you want to have fun.

@alexdb27
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Ok
Le 27 juin 2016 18:56, "Pierre Poulain" [email protected] a écrit :

After discussion with @jbarnoud https://github.com/jbarnoud We probably
keep this feature for another release of PBxplore.
@jbarnoud https://github.com/jbarnoud is it possible to remove all
trace of clustering from the master branch?


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#106 (comment),
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.

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PR for what

@jbarnoud
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This PR (#106) implements PBkmeans.

I have a branch somewhere that makes hclust work with python only. But ward is not available because of an issue in scipy.

I will submit a PR to remove all traces of clustering in PBxplore. It is not very difficult to have something that will somehow group sequences, but I would like to assess the strength and drawbacks of the different algorithms rather than just releasing an algo at random.

@pierrepo
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pierrepo commented Jul 4, 2016

@jbarnoud can I add this branch to Pbxplore repo?

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@pierrepo
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pierrepo commented Jul 4, 2016

@jbarnoud can I add this branch to Pbxplore repo?

@jbarnoud
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jbarnoud commented Jul 4, 2016

On 04/07/16 15:18, Pierre Poulain wrote:

@jbarnoud https://github.com/jbarnoud can I add this branch to
Pbxplore repo?


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Nobody reviewed it. Neither the code nor the science behind it.

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pierrepo commented Jul 4, 2016

@jbarnoud but as a "dev_pbkmeans" branch? So that you can clean/remove the clustering from the master branch.

@jbarnoud
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jbarnoud commented Jul 4, 2016

Why not.
Le 4 juil. 2016 3:46 PM, Pierre Poulain [email protected] a écrit :@jbarnoud but as a "dev_pbkmeans" branch? So that you can clean/remove the clustering from the master branch.

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@HubLot HubLot mentioned this pull request Oct 11, 2016
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@pierrepo pierrepo changed the base branch from master to clust_python December 21, 2016 13:03
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Hi @jbarnoud
I changed the target branch for this PR.
Could you refresh the PR?

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4 participants