Competitive learning for binary valued data

Competitive learning for binary valued data

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 m...

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Main Authors: Leisch, Friedrich, Weingessel, Andreas, Dimitriadou, Evgenia
Format: Others
Language:en
Published: SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business 1998
Online Access:http://epub.wu.ac.at/154/1/document.pdf
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spelling ndltd-VIENNA-oai-epub.wu-wien.ac.at-epub-wu-01_1c82014-10-03T06:51:55Z Competitive learning for binary valued data Leisch, Friedrich Weingessel, Andreas Dimitriadou, Evgenia 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) SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business 1998 Paper NonPeerReviewed en application/pdf http://epub.wu.ac.at/154/1/document.pdf Series: Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science" http://epub.wu.ac.at/154/
collection NDLTD
language en
format Others
sources NDLTD
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"
author Leisch, Friedrich
Weingessel, Andreas
Dimitriadou, Evgenia
spellingShingle Leisch, Friedrich
Weingessel, Andreas
Dimitriadou, Evgenia
Competitive learning for binary valued data
author_facet Leisch, Friedrich
Weingessel, Andreas
Dimitriadou, Evgenia
author_sort Leisch, Friedrich
title Competitive learning for binary valued data
title_short Competitive learning for binary valued data
title_full Competitive learning for binary valued data
title_fullStr Competitive learning for binary valued data
title_full_unstemmed Competitive learning for binary valued data
title_sort competitive learning for binary valued data
publisher SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business
publishDate 1998
url http://epub.wu.ac.at/154/1/document.pdf
work_keys_str_mv AT leischfriedrich competitivelearningforbinaryvalueddata
AT weingesselandreas competitivelearningforbinaryvalueddata
AT dimitriadouevgenia competitivelearningforbinaryvalueddata
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