High-dimensional data structure analysis using Self-Organising Maps
Oles Hodych, Iouri Nikolski, Volodymyr V. Pasichnyk, Yuriy Shcherbyna · 2007
In this article the authors discuss several approaches to high dimensional data structure analysis using self-organising maps. The described approaches utilise graphical images for the purpose of data structure interpretation. The evaluation of the discussed techniques has been performed using the real medical data from cardiology. The research, results of which are outlined in this paper, is a continuation of the earlier work related to the analysis of the same medical data.