Jul 29, 2013 — Vector Quantization — Vector Quantization is a method to compress data, and it’s considered a lossy technique because we are creating a new representation for a set of N observations that loses some of our information.  This happens because we represent each of... Read more

Jul 29, 2013 — Changes from DSM-IV to DSM-V — The DSM is the Diagnostic and Statistical Manual of Mental Disorders, and is the “gold standard” that clinicians use to make an assessment about an individual.  The DSM-V was published (officially) on May 18, 2013, and while there are many... Read more

Jul 29, 2013 — Modularity Optimization Algorithm of Newman — When we create a network, we are concerned about how the components are broken into groups, and how those groups are connected.  This is relevant to graph theory, where the basic idea is to have entities in some system represented... Read more

Jul 25, 2013 — Flatten 3D Data to Vector, and back to 3D in R — There is surprisingly little help online about how to flatten some 3D data, and then “unflatten” it back to its original size. Why would you want this functionality? Many machine learning algorithms that work with images treat pixel values as... Read more