Data Structure Analysis

2007 ◽  
pp. 329-352 ◽  
Author(s):  
Joaquim P. Marques de Sá
Keyword(s):  
Data Structure ◽  
Structure Analysis ◽  
Data Structure Analysis

High-dimensional data structure analysis using Self-Organising Maps

2007 ◽  
Author(s):  
Oles Hodych ◽  
Iouri Nikolski ◽  
Volodymyr Pasichnyk ◽  
Yuri Shcherbyna
Keyword(s):  
Data Structure ◽  
Structure Analysis ◽  
High Dimensional Data ◽  
High Dimensional ◽  
Data Structure Analysis

scholarly journals ANALYSIS OF THE MEDICAL DATA STRUCTURE USING SELFORGANISING MAPS

2014 ◽  
pp. 124-136
Author(s):  
O. V. Hodych ◽  
Yu. V. Nikolsky ◽  
V. V. Pasichnyk ◽  
Yu.Scherbyna M. Scherbyna
Keyword(s):  
Data Structure ◽  
Structure Analysis ◽  
High Dimensional Data ◽  
Research Work ◽  
Medical Data ◽  
High Dimensional ◽  
Research Results ◽  
The Real ◽  
Work Related ◽  
Data Structure Analysis

In this article the authors discuss several approaches to high dimensional data structure analysis using Self- Organising Maps. The describe 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. It is envisaged that results obtained in this and earlier research work will form a foundation for creation of a robust technology to be used for automation of diagnostic tasks in medicine.

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