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...
| Main Authors: | , , |
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| Format: | Others |
| Language: | en |
| Published: |
SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business
1998
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| Online Access: | http://epub.wu.ac.at/154/1/document.pdf |