dkubes, my vote would be k-means and native bayes, also maybe some
basic similarity measures.
Grant Ingersoll wrote:
As people are coming online, please get a Confluence account and let me
know what your username is, so I can add you to the Mahout
administrators. Right now, only admins can edit the wiki, but anyone
can leave comments.
I have added several new items on the wiki
(http://cwiki.apache.org/confluence/display/MAHOUT/index). Most
notably, let's try to start filling in the TODO list and get some basic
build infrastructure in place.
Does anyone feel particularly strong about initial algorithms to
tackle? I'm thinking k-Means, naive bayes or neural nets, but am
obviously open to other suggestions.
Hopefully, our JIRA will be up an available soon.
-Grant
From - Fri
