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https://issues.apache.org/jira/browse/SPARK-2336?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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longbao wang updated SPARK-2336:
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Comment: was deleted
(was: I really agree with you，and i'm already implementing it,but i have a
trouble,after build tree successful,you search target points' knn,so
parallelize the input target points then search,but i think this have some
questions,and one point's knn may in two partitions or more.)
> Approximate k-NN Models for MLLib
> ---------------------------------
>
> Key: SPARK-2336
> URL: https://issues.apache.org/jira/browse/SPARK-2336
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Brian Gawalt
> Priority: Minor
> Labels: clustering, features
>
> After tackling the general k-Nearest Neighbor model as per
> https://issues.apache.org/jira/browse/SPARK-2335 , there's an opportunity to
> also offer approximate k-Nearest Neighbor. A promising approach would involve
> building a kd-tree variant within from each partition, a la
> http://www.autonlab.org/autonweb/14714.html?branch=1&language=2
> This could offer a simple non-linear ML model that can label new data with
> much lower latency than the plain-vanilla kNN versions.
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