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https://issues.apache.org/jira/browse/FLINK-1732?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14581080#comment-14581080
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ASF GitHub Bot commented on FLINK-1732:
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GitHub user shakir774 opened a pull request:
https://github.com/apache/flink/pull/823
FLINK-1732 Gaussian Mixture Model for Flink-ml library
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/shakir774/flink gmm_feature
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/823.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #823
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commit 3d12b27efa2dc623ce05e8eea05cdf0aeea4b330
Author: shakir774 <[email protected]>
Date: 2015-06-05T16:32:51Z
Gaussian Mixture Model for flink ml library FLINK-1732
commit a03a987b79fa3e3ca8e009553980bc2b62b0b8f6
Author: shakir.waseeb <[email protected]>
Date: 2015-06-10T20:53:04Z
Tests for GMM feature
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> Add Gaussian mixture model to machine learning library
> ------------------------------------------------------
>
> Key: FLINK-1732
> URL: https://issues.apache.org/jira/browse/FLINK-1732
> Project: Flink
> Issue Type: New Feature
> Components: Machine Learning Library
> Reporter: Till Rohrmann
> Assignee: Alexander Alexandrov
> Labels: ML
>
> For clustering purposes a distribution-based clustering algorithm such as the
> Gaussian mixture model [1] could be helpful.
> Resources:
> [1]
> [http://en.wikipedia.org/wiki/Expectation%E2%80%93maximization_algorithm#Gaussian_mixture]
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