For our forthcoming book on machine learning for hackers, John Myles White and I will discuss clustering, and various methods for doing so. One common method for clustering observations

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This post provides links to a range of resources related to the use and interpretation of correlations. I wanted to provide a page with links to a number of additional resources that would be useful both for those of my students who might be keen to le...

In response to my last post, Chris had the following comment: I am actually trying to better understand the distinction between mixture models and mixture distributions in my own work. You seem to say mixture models apply to a small set of models – namely regression models.This comment suggests that my caution about the difference between mixed-effect models and mixture distributions...

The most recent edition of the Revolution Newsletter is out. The news section is below, and you read the full July edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Beta Test Revolution R Enterprise 5.0. Are you running R in a Microsoft environment? Revolution...

Yesterday, we had a meeting of our EMILE network on statistics for population genetics (in Montpellier) and we were discussing our respective recent advances in ABC model choice. One of our colleagues mentioned the constant request (from referees) to include the post-ABC processing devised by Fagundes et al. in their 2007 ABC paper. (This paper

In case you missed them, here are some articles from June of particular interest to R users. Highlights of presentations from the R/Finance 2011 conference. Trulia uses R and statistical models to map local crime. Resources for data mining with R. K-means clustering on large data sets with the RevoScaleR package. Revolution Analytics' CTO David Champagne writes on real-time...

Kent Osband writes: