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From Ted Dunning <ted.dunn...@gmail.com>
Subject Re: Outlier detection/Pruning
Date Tue, 03 Dec 2013 18:00:39 GMT
Can you be more specific about which code you are asking about?

The ball k-means implementation provides a capability somewhat like this,
but perhaps in a more clearly defined way.


On Tue, Dec 3, 2013 at 9:34 AM, Prabhakar Srinivasan <
prabhakar.srinivasan@gmail.com> wrote:

> Hello!
> Can someone point me to some explanatory documentation for Outlier
> Detection & Removal in Clustering in Mahout. I am unable to understand the
> internal mechanism of outlier detection just by reading the Javadoc:
> clusterClassificationThreshold Is a clustering strictness / outlier removal
> parameter. Its value should be between 0 and 1. Vectors having pdf below
> this value will not be clustered.
>
> What does the pdf represent?
>
> Thanks
> Prabhakar
>

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