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https://issues.apache.org/jira/browse/MAHOUT-1177?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13641893#comment-13641893
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Yexi edited comment on MAHOUT-1177 at 4/25/13 3:34 PM:
-------------------------------------------------------
Hi,
I am a graduate student majored in data mining, I am very interested in this
project.
I have used some experiences on distributed data mining using hadoop, so I
believe I can handle this project.
In order to work on this project, is it necessary for me to join the GSOC
program?
As the GSOC requires the international student who studies in the US to apply
for the CPT, and I almost used up the CPT due to previous internships, so I am
not be able to apply CPT for the GSOC.
Regards,
Yexi
was (Author: yxjiang):
Hi,
I am a graduate student majored in data mining, I am very interested in this
project.
I have used some experiences on distributed data mining using hadoop, so I
believe I can handle this project.
In order to work on this project, is it necessary for me to join the GSOC
program?
As the GSOC requires the international student who studies in the US to apply
for the CPT, and I almost used up the CPT due to previous internships, so I am
not be able to apply CPT for the GSOC.
> GSOC 2013: Reform and simplify the clustering APIs
> --------------------------------------------------
>
> Key: MAHOUT-1177
> URL: https://issues.apache.org/jira/browse/MAHOUT-1177
> Project: Mahout
> Issue Type: Improvement
> Reporter: Dan Filimon
> Labels: gsoc2013, mentor
>
> Clustering is one of the most used features in Mahout and has many
> applications [http://en.wikipedia.org/wiki/Cluster_analysis#Applications].
> We have of lots clustering algorithms. There's:
> - basic k-means
> - canopy clustering
> - Dirichlet clustering
> - Fuzzy k-means
> - Spectral k-means
> - Streaming k-means [coming soon]
> We want to make them easier to use by updating the APIs and make sure they
> all work in the same way have consistent inputs, outputs, diagnostics and
> documentation.
> This is a great way to gain an in-depth understanding of clustering
> algorithms, familiarize yourself with Hadoop, Mahout clustering and good
> software engineering principles.
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