Blog Categorisation using Encog, ROME, JSoup and Google Guava

Continuing with Programming Collection Intelligence  (PCI) the next exercise was using the distance scores to pigeonhole a list of blogs based on the words used within the relevant blog.

I had already found Encog as the framework for the AI / Machine learning algorithms, for this exercise I needed an RSS reader and a HTML parser.
The 2 libraries I ended up using were:
ROME
JSoup

For general other utilities and collection manipulations I used:
Google Guava

I kept the list of blogs short, included some of the software bloggers I follow, just to make testing quick, had to alter the %'s a little from the implementation in (PCI), but still got the desired result.

Blogs Used:

http://blog.guykawasaki.com/index.rdf
http://blog.outer-court.com/rss.xml
http://flagrantdisregard.com/index.php/feed/
http://gizmodo.com/index.xml
http://googleblog.blogspot.com/rss.xml
http://radar.oreilly.com/index.rdf
http://www.wired.com/rss/index.xml
http://feeds.feedburner.com/codinghorror
http://feeds.feedburner.com/joelonsoftware
http://martinfowler.com/feed.atom
http://www.briandupreez.net/feeds/posts/default

For the implementation I just went with a main class and a reader class:


Main:


The Results:


*** Cluster 1 ***
[http://www.briandupreez.net/feeds/posts/default]
*** Cluster 2 ***
[http://blog.guykawasaki.com/index.rdf]
[http://radar.oreilly.com/index.rdf]
[http://googleblog.blogspot.com/rss.xml]
[http://blog.outer-court.com/rss.xml]
[http://gizmodo.com/index.xml]
[http://flagrantdisregard.com/index.php/feed/]
[http://www.wired.com/rss/index.xml]
*** Cluster 3 ***
[http://feeds.feedburner.com/joelonsoftware]
[http://feeds.feedburner.com/codinghorror]
[http://martinfowler.com/feed.atom]