A glimpse into the Self-Organizing Maps (SOM)

Self-Organizing Maps (SOM) are neural structures proposed for the first time by the computer scientist T. Kohonen in the late 1980s (that’s why they are also known as Kohonen Networks). Their peculiarities are the ability to auto-cluster data according to the topological features of the samples and the approach to…

ML Algorithms Addendum: Instance Based Learning

Contrary to the majority of machine learning algorithms, Instance-Based Learning is model-free, meaning that there are strong assumptions about the structure of regressors, classifiers or clustering functions. They are “simply” determined by the data, according to an affinity induced by a distance metric (the most common name for this approach…