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https://issues.apache.org/jira/browse/MAHOUT-563?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lance Norskog updated MAHOUT-563:
---------------------------------
Attachment: MAHOUT-563.patch
First cut.
CanopyEstimator does three things:
# Makes a random subsample of a given vector set
# Estimated initial T1/T2 numbers from the maximum and minimum distances
between vectors in the subsample
# Iteratively hunts for T1/T2 values will create a list of canopies within a
given minimum and maximum size
The algorithm for the latter is lame, but it does something useful in small and
medium-scale tests.
> CanopyEstimator - Estimate T1/T2 for CanopyClusterer
> ----------------------------------------------------
>
> Key: MAHOUT-563
> URL: https://issues.apache.org/jira/browse/MAHOUT-563
> Project: Mahout
> Issue Type: New Feature
> Components: Clustering
> Reporter: Lance Norskog
> Priority: Minor
> Attachments: MAHOUT-563.patch
>
>
> Hunting for T1/T2 values that make an interesting Canopy set is a singularly
> unsatisfying task. This class estimates T1 and T2 numbers given the original
> set.
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