Monthly Archives: March 2014

Distributed Learning

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

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 | 16 Comments