Resource title

Competitive learning for binary valued data

Resource image

image for OpenScout resource :: Competitive learning for binary valued data

Resource description

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) ; Series: Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science"

Resource author

Friedrich Leisch, Andreas Weingessel, Evgenia Dimitriadou

Resource publisher

Resource publish date

Resource language

en

Resource content type

application/pdf

Resource resource URL

http://epub.wu.ac.at/154/1/document.pdf

Resource license

Adapt according to the license agreement. Always reference the original source and author.