Talks and Poster Presentations (with Proceedings-Entry):
R. Mayer, D. Baum, R. Neumayer, A. Rauber:
"Analytic Comparison of Self-Organising Maps";
Talk: 7th International Workshop on Self-Organizing Maps (WSOM 2009),
St. Augustine, Florida, USA;
- 2009-06-10; in: "Proceedings of the 7th Workshop On Self-Organizing Maps St. Augustine, FL, USA (WSOM 2007)",
J. Principe, R. Miikkulainen (ed.);
Lecture Notes in Computer Science
SOMs have proven to be a very powerful tool for data analysis. However, comparing multiple SOMs trained on the same data set using different parameters or initialisations is still a difficult task. In most cases it is performed only via visual inspection or by utilising one of a range of quality measures to compare vector quantisation or topology preservation characteristics of the maps. Yet, comparing SOMs systematically is both necessary as well as a powerful tool to further analyse data: necessary, because it may help to pick the most suitable SOM out of different training runs; a powerful tool because it allows analysing mapping stabilities across a range of parameter settings. In this paper we present an analytic approach to compare multiple SOMs trained on the same data set. Analysis of output space mapping, supported by a set of visualisations, reveals data co-locations and shifts on pairs of SOMs, considering both different neighbourhood sizes at source and target maps.
A similar concept of mutual distances and relationships can be analysed at a cluster level. Finally, Comparisons aggregated automatically across several SOMs are strong indicators for strength and stability of mappings.
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.