Monthly Archives: March 2014

Distributed Learning

Posted on March 19, 2014 by Jesse Johnson

So far on this blog, my focus has been on conventional algorithms for data mining and machine learning, i.e. algorithms that can run on a standard desktop or laptop computer with a single processor. However, one of the trends in … Continue reading →

Posted in Distributed learning | 2 Comments

K-modes

Posted on March 4, 2014 by Jesse Johnson

I recently read an interesting Wired story about Chris McKinlay (a fellow alum of Middlebury College), who used a clustering algorithm to understand the pool of users on the dating site OkCupid (and successfully used this information to improve his … Continue reading →

Posted in Clustering, Feature extraction | 29 Comments