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https://issues.apache.org/jira/browse/MATH-1548?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gilles Sadowski resolved MATH-1548.
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Resolution: Done
Commit 824d92fac676a5bbde947a437f1698960edf3bc6 ("master" branch).
> Inefficient computation of SOM quality standard indicators
> ----------------------------------------------------------
>
> Key: MATH-1548
> URL: https://issues.apache.org/jira/browse/MATH-1548
> Project: Commons Math
> Issue Type: Improvement
> Affects Versions: 3.6.1
> Reporter: Gilles Sadowski
> Assignee: Gilles Sadowski
> Priority: Major
> Fix For: 4.0
>
>
> Package {{o.a.c.m.ml.neuralnet.twod.util}} contain classes for defining
> various measures of the quality of a self-organizing feature map (SOM).
> The current design can be quite inefficient when the number of data and/or
> the number of neurons are large, since the same procedures (e.g. finding the
> neuron whose features most closely matches some data) are repeated for each
> quality indicator.
> It is proposed to compute all "standard" indicators at once (in class
> {{NeuronSquareMesh2D}}).
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