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https://issues.apache.org/jira/browse/SPARK-4001?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14258696#comment-14258696
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zhangyouhua commented on SPARK-4001:
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apriori and FPGrowth are commonly algorithm，there are two mainly method.one is
calculate frequently item set,another is calculate association rules.here we
have implementate formar,the latter will be submit as soon as possible.
> Add Apriori algorithm to Spark MLlib
> ------------------------------------
>
> Key: SPARK-4001
> URL: https://issues.apache.org/jira/browse/SPARK-4001
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Jacky Li
> Assignee: Jacky Li
> Attachments: Distributed frequent item mining algorithm based on
> Spark.pptx
>
>
> Apriori is the classic algorithm for frequent item set mining in a
> transactional data set. It will be useful if Apriori algorithm is added to
> MLLib in Spark
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