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Improving similarity assessment with entropy-based local weighting

Autor
Núñez, H.; Sànchez-Marrè, M.; Cortes, U.
Tipus d'activitat
Article en revista
Revista
Lecture notes in computer science
Data de publicació
2003-06
Volum
2689
Pàgina inicial
377
Pàgina final
391
DOI
https://doi.org/10.1007/3-540-45006-8_30 Obrir en finestra nova
URL
http://link.springer.com/chapter/10.1007/3-540-45006-8_30 Obrir en finestra nova
Resum
This paper enhances and analyses the power of local weighted similarity measures. The paper proposes a new entropy-based local weighting algorithm (EBL) to be used in similarity assessment to improve the performance of the CBR retrieval task. We describe a comparative analysis of the performance of unweighted similarity measures, global weighted similarity measures, and local weighting similarity measures. The testing has been done using several similarity measures, and some data sets from the U...
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants