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Competitive learning for binary valued data

Leisch, Friedrich and Weingessel, Andreas and Dimitriadou, Evgenia (1998) Competitive learning for binary valued data. Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science", 17. SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, Vienna.

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We propose a new approach for using online competitive learning on binary data. The usual Euclidean distance is replaced by binary distance measures, which take possible asymmetries of binary data into account and therefore provide a "different point of view" for looking at the data. The method is demonstrated on two artificial examples and applied on tourist marketing research data. (author's abstract)

Item Type: Paper
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Produktionsmanagement > Taudes
Departments > Finance, Accounting and Statistics > Statistics and Mathematics
Departments > Marketing > Service Marketing und Tourismus
Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft
Depositing User: Repository Administrator
Date Deposited: 07 Mar 2002 17:29
Last Modified: 02 Oct 2014 07:29
URI: http://epub.wu.ac.at/id/eprint/154


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