The Use of Kohonen's Neural Network in Clustering of Parasitological Micrographs
Year: 2025

This article examines in detail a promising direction for the application of a neural network such as the Kohonen self-organizing map ( SOM ) in the field of applied parasitology. It considers theoretical justification of using this type of artificial neural networks for analyzing parasitological samples, with an emphasis on their ability to effectively cluster without preliminary data labeling. Various clustering quality metrics typical for self-organizing maps are presented and critically anal