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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
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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
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