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https://issues.apache.org/jira/browse/MADLIB-1061?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16758288#comment-16758288
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Orhan Kislal commented on MADLIB-1061:
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I have attached some updated charts (and data) for the kd-tree enabled knn. It
shows some significant improvements in the performance with acceptable losses
in accuracy.
> Additional computation methods for k-NN - kd tree
> -------------------------------------------------
>
> Key: MADLIB-1061
> URL: https://issues.apache.org/jira/browse/MADLIB-1061
> Project: Apache MADlib
> Issue Type: New Feature
> Components: k-NN
> Reporter: Frank McQuillan
> Assignee: Orhan Kislal
> Priority: Major
> Labels: starter
> Fix For: v1.16
>
> Attachments: KNN-chart-data.pdf, KNN-charts.pdf, KNN-raw.pdf,
> KNN-w-KD-tree-leaf-node-only.pdf, Sheet1-KNN-perf-num-features.pdf,
> Sheet2-KNN-tree-construction.pdf, Sheet3-KNN-tree-depth.pdf
>
>
> Follow on to
> https://issues.apache.org/jira/browse/MADLIB-927
> which uses brute force.
> Determine other k-NN algos to implement. From
> http://scikit-learn.org/stable/modules/neighbors.html
> candidates are:
> * K-D Tree
> * Ball Tree
> * Other?
> This JIRA is to implement K-D tree.
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