sepdek February 16, 2018

Clustering is an important category of machine learning methods and a main form of unsupervised learning. Clustering is essentially distinctive and substantially different from the other dominant form of machine learning, classification, in that it does not rely on training (supervised learning). In principle, clustering represents any method that tries to identify and distinguish groups […]

sepdek January 23, 2018

This post serves as a practical approach towards a vectorized implementation of the Expectation Maximization (EM) algorithm mainly for MATLAB or OCTAVE applications. EM is a really powerful and elegant method for finding maximum likelihood solutions in cases where the hypothesis involves a gaussian mixture model and latent variables. Introduction EM is connected with the […]

sepdek October 7, 2017

Everyone loves automation. Automation is conservation of energy; its like the habits we people are into, the habits that seem to be there for all living entities. One great automation option we may enjoy in our everyday work is that provided by the operating systems on our computers to perform tasks for us. One such […]