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Automatic generation of classes interpretation as a bridge between clustering and decision

Autor
Gibert, Karina
Tipus d'activitat
Article en revista
Revista
International Journal of Multicriteria Decision Making
Data de publicació
2014-01
Volum
4
Número
2
Pàgina inicial
154
Pàgina final
182
DOI
https://doi.org/10.1504/IJMCDM.2014.060425 Obrir en finestra nova
URL
http://inderscience.metapress.com/content/l3u45gkp76hu5862/?genre=article&issn=2040-106X&volume=4&issue=2&spage=154 Obrir en finestra nova
Resum
Understanding the meaning of the classes outcomming from a clustering method is one of the criticalrn aspects to guarantee both the validity of the clustering results and their usefullness. The Methodology of conceptual characterization by embedded conditioning (CCEC), is a proposal for building conceptual interpretations of hierarchical clustering that contributes to enshort the gap between the clustering itself and the furtherrndecision-making processes. The methodologyrnuses some statistical ...
Paraules clau
Decision-Making, Hierarchical clustering, Intelligent Decision Support Systems, Knowledge Discovery and Data Mining, Waste Water treatment plants, class interpretation, post-processing
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants