Generating Normally Distributed Clusters by Means of a Self-organizing Growing Neural Network

Decker R, Holsing C, Lerke S (2006)
Enformatika - International Journal of Computer Science 1(2): 138-144.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
Es wurde kein Volltext hochgeladen. Nur Publikationsnachweis!
Autor*in
Decker, ReinholdUniBi ; Holsing, C.; Lerke, S.
Abstract / Bemerkung
This paper presents a new growing neural network for cluster analysis and market segmentation, which optimizes the size and structure of clusters by iteratively checking them for multivariate normality. We combine the recently published SGNN approach [8] with the basic principle underlying the Gaussian-means algorithm [13] and the Mardia test for multivariate normality [18, 19]. The new approach distinguishes from existing ones by its holistic design and its great autonomy regarding the clustering process as a whole. Its performance is demonstrated by means of synthetic 2D data and by real lifestyle survey data usable for market segmentation.
Stichworte
market segmentation; self-organization; multivariatenormality; clustering; Artificial neural network
Erscheinungsjahr
2006
Zeitschriftentitel
Enformatika - International Journal of Computer Science
Band
1
Ausgabe
2
Seite(n)
138-144
ISSN
1306-4428
Page URI
https://pub.uni-bielefeld.de/record/2495047

Zitieren

Decker R, Holsing C, Lerke S. Generating Normally Distributed Clusters by Means of a Self-organizing Growing Neural Network. Enformatika - International Journal of Computer Science. 2006;1(2):138-144.
Decker, R., Holsing, C., & Lerke, S. (2006). Generating Normally Distributed Clusters by Means of a Self-organizing Growing Neural Network. Enformatika - International Journal of Computer Science, 1(2), 138-144.
Decker, R., Holsing, C., and Lerke, S. (2006). Generating Normally Distributed Clusters by Means of a Self-organizing Growing Neural Network. Enformatika - International Journal of Computer Science 1, 138-144.
Decker, R., Holsing, C., & Lerke, S., 2006. Generating Normally Distributed Clusters by Means of a Self-organizing Growing Neural Network. Enformatika - International Journal of Computer Science, 1(2), p 138-144.
R. Decker, C. Holsing, and S. Lerke, “Generating Normally Distributed Clusters by Means of a Self-organizing Growing Neural Network”, Enformatika - International Journal of Computer Science, vol. 1, 2006, pp. 138-144.
Decker, R., Holsing, C., Lerke, S.: Generating Normally Distributed Clusters by Means of a Self-organizing Growing Neural Network. Enformatika - International Journal of Computer Science. 1, 138-144 (2006).
Decker, Reinhold, Holsing, C., and Lerke, S. “Generating Normally Distributed Clusters by Means of a Self-organizing Growing Neural Network”. Enformatika - International Journal of Computer Science 1.2 (2006): 138-144.

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Suchen in

Google Scholar