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From sethah <shen...@us.ibm.com>
Subject Re: Distance metrics in KMeans
Date Fri, 25 Sep 2015 21:34:36 GMT
It looks like the distance metric is hard coded to the L2 norm (euclidean
distance) in MLlib. As you may expect, you are not the first person to
desire other metrics and there has been some prior effort. 

Please reference this PR: https://github.com/apache/spark/pull/2634

And corresponding JIRA: https://issues.apache.org/jira/browse/SPARK-3219

Seems as if the addition of arbitrary distance metrics is non-trivial given
current implementation in MLlib. Not sure of any current work towards this
issue.



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