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Post-processing the Class Panel Graphs: towards understandable patterns from data

Autor
Sevilla-Villanueva, Beatriz; Gibert, Karina; Sànchez-Marrè, M.
Tipus d'activitat
Article en revista
Revista
Frontiers in artificial intelligence and applications
Data de publicació
2013-11-01
Volum
256
Pàgina inicial
215
Pàgina final
224
DOI
10.3233/978-1-61499-320-9-215
Repositori
http://hdl.handle.net/2117/22911 Obrir en finestra nova
URL
http://ebooks.iospress.nl/publication/35251 Obrir en finestra nova
Resum
A profiling methodology is introduced for automatic interpretation of clusters in this work. This methodology contributes to the characterization of the resulting classes from a clustering process. This work aims to find a concordance between the proposed methodology and the experts’ description of these classes. In this work the resulting classes from a clustering of a general population sample based on their diet and physical activity habits are interpreted and compared with the experts’ d...
Citació
Sevilla-Villanueva, B.; Gibert, Karina; Sanchez, M. Post-processing the Class Panel Graphs: towards understandable patterns from data. "Frontiers in artificial intelligence and applications", 01 Novembre 2013, vol. 256, p. 215-224.
Paraules clau
Clustering, Post-processing, Interpretation, Cluster Profiling
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants

Arxius