[
https://issues.apache.org/jira/browse/LUCENE-1016?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Karl Wettin updated LUCENE-1016:
--------------------------------
Attachment: LUCENE-1016-clusterer.txt
out.png
Sorry for flooding. This JIRA issue is sort of turning more off topic for each
post.. I hope you don't mind.
LUCENE-1016-clusterer.txt now contains a refactor of the Tanimoto similarity,
it does the same thing, but with less messy code.
And as the filename hints, I thought it would be fun to demonstrate the
similarity by adding a very simple two dimensional decision tree clusterer.
For the test I feed it with 17 news articles representing 3 news stories I got
from Google news. Attached is also a graphviz diagram that shows the tree with
the news stories clustered together. I did not look at how to draw the line
between the clusters yet, but I could probably come up with something simple
enough. Legend: floating numbers represents the distance between two children.
The leafs are the actual articles, prefixed with new story identity and
suffixed with news article identity.
(The clusterer sure needs optimization, use carrot instead. This is just me
fooling aroung.)
Have fun!
> TermVectorAccessor, transparent vector space access
> ----------------------------------------------------
>
> Key: LUCENE-1016
> URL: https://issues.apache.org/jira/browse/LUCENE-1016
> Project: Lucene - Java
> Issue Type: New Feature
> Components: Term Vectors
> Affects Versions: 2.2
> Reporter: Karl Wettin
> Priority: Minor
> Attachments: LUCENE-1016-clusterer.txt, LUCENE-1016-Tanimoto.txt,
> LUCENE-1016.txt, out.png
>
>
> This class visits TermVectorMapper and populates it with information
> transparent by either passing it down to the default terms cache (documents
> indexed with Field.TermVector) or by resolving the inverted index.
--
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.
---------------------------------------------------------------------
To unsubscribe, e-mail: [EMAIL PROTECTED]
For additional commands, e-mail: [EMAIL PROTECTED]
