Skip to main content
Article thumbnail
Location of Repository

Interactive Graphics Systems Group

By Jürgen Bernard, Tu Darmstadt, Tatiana Von L, Fraunhofer Igd Darmstadt, Tobias Schreck and Sebastian Bremm

Abstract

The Self-Organizing Map (SOM) algorithm [4] is a popular and widely used cluster algorithm. Its constraint to organize clusters on a grid structure makes it very amenable to visualization. On the other hand, the grid constraint may lead to reduced cluster accuracy and reliability, compared to other clustering methods not implementing this restriction. We propose a visual cluster analysis system that allows to validate the output of the SOM algorithm by comparison with alternative clustering methods. Specifically, visual mappings overlaying alternative clustering results onto the SOM are proposed. We apply our system on an example data set, and outline main analytical use cases

Topics: Applications, I.3.6 [Computing Methodologies, Methodology and
Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.186.3620
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.gris.informatik.tu-... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.