Competitive learning for binary valued data

Friedrich Leisch, Andreas Weingessel, Evgenia Dimitriadou

Publikation: Working/Discussion PaperWU Working Paper

73 Downloads (Pure)

Abstract

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)

Publikationsreihe

ReiheReport Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
Nummer17

WU Working Paper Reihe

  • Report Series SFB \Adaptive Information Systems and Modelling in Economics and Management Science\

Zitat