How Machine Learning Algorithms Work. You can devise a simple algorithm on a piece of paper to approve or deny a loan. If, say, people in the top 60% of credit scores tend to reliably pay off ...

Self-Organizing Maps (SOM) represent one of the most used clustering algorithms. A strong limitation in hardware SOM implementations is the decrease in processing speed when the number of neurons and ...

SOM-in-JAX is a reimplementation of minimalistic and Numpy based implementation of the Self Organizing Maps (SOM). SOM is a type of Artificial Neural Network able to convert complex, nonlinear ...

Machine Learning is a subset of AI that describes how computer algorithms get better at solving their domain specific problems by leveraging large data sets with which to train themselves.

This paper introduces a novel approach, MA-SOM, which optimizes Self-Organizing Maps (SOM) using the Mayfly Algorithm (MA). Traditional SOMs often encounter challenges related to convergence accuracy ...