Jul 29, 2013 — Self Organizing Maps (SOM) — The goal of the** Self Organizing Maps** (SOM) is to use unsupervised machine learning to represent complex data in a low (e.g, 2D) dimensional space.  They are actually types of artificial neural networks (ANNs), meaning that we are going to... Read more

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