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https://issues.apache.org/jira/browse/SOLR-1302?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Grant Ingersoll updated SOLR-1302:
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Attachment: SOLR-1302.patch
No need for all of these classes for one offs of distance. Implement general
Lp_Space Vector distance function + a special case for the squared euclidean
distance (which isn't really a distance, but is still useful.)
See http://en.wikipedia.org/wiki/Lp_space
Euclidean distance is dist(2, valuesources...), while Manhattan is (dist(1,
valuesources...). Handles some powers as special cases for improved speed.
This pretty much enables Solr to do some pretty cool stuff when it comes to
vector calculations.
See the tests for how to use. Will add Wiki later.
> Fun with Distances - Add Distance functions for a variety of things
> -------------------------------------------------------------------
>
> Key: SOLR-1302
> URL: https://issues.apache.org/jira/browse/SOLR-1302
> Project: Solr
> Issue Type: New Feature
> Reporter: Grant Ingersoll
> Assignee: Grant Ingersoll
> Priority: Minor
> Fix For: 1.5
>
> Attachments: SOLR-1302.patch, SOLR-1302.patch, SOLR-1302.patch
>
>
> There are many distance functions that are useful to have:
> 1. Great Circle (lat/lon) and other geo distances
> 2. Euclidean (Vector)
> 3. Manhattan (Vector)
> 4. Cosine (Vector)
> For the vector ones, the idea is that the fields on a document can be used to
> determine the vector.
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