A dynamic grouping based on self-learning GNG networks Cover Image

Grupowanie dynamiczne z wykorzystaniem samouczących się sieci GNG
A dynamic grouping based on self-learning GNG networks

Author(s): Krzysztof Najman
Subject(s): Economy
Published by: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Keywords: cluster analysis; dynamic clustering; self-learning neural networks

Summary/Abstract: Along with the constantly evolving IT technology, there is a rapid increase of the amount of data collected in different computer systems. One of the characteristics of the dynamically created online databases is, inter alia, the structure of a dynamically changing group of individuals. The grouping in such a database requires the use of special methods. This article formulates the requirements for such a method and proposes the use in the described purpose self-learning GNG type networks. The article, based on theoretical studies and research experiment, verifies the hypothesis about the suitability of GNG network in a dynamic clustering.

  • Issue Year: 2012
  • Issue No: 242
  • Page Range: 361-369
  • Page Count: 9
  • Language: Polish