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A methodology to discover and understand complex patterns: interpreted integrative multiview clustering (I2MC)

Autor
Sevilla-Villanueva, Beatriz; Gibert, Karina; Sànchez-Marrè, M.
Tipus d'activitat
Article en revista
Revista
Pattern recognition letters
Data de publicació
2017-02-10
Volum
93
Pàgina inicial
85
Pàgina final
94
DOI
https://doi.org/10.1016/j.patrec.2017.02.008 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/107553 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S0167865517300399 Obrir en finestra nova
Resum
The main goal of this work is to develop a methodology for finding nutritional patterns from a variety of individual characteristics which can contribute to better understand the interactions between nutrition and health, provided that the complexity of the phenomenon gives poor performance using classical approaches. An innovative methodology based on a combination of advanced clustering techniques and consistent conceptual interpretation of clusters is proposed to find more understandable patt...
Citació
Sevilla-Villanueva, Beatriz, Gibert, Karina, Sànchez-Marrè, M. A methodology to discover and understand complex patterns: interpreted integrative multiview clustering (I2MC). "Pattern recognition letters", 10 Febrer 2017, vol. 93, p. 85-94.
Paraules clau
Automatic profiling, Cluster Interpretation, Crossing clustering, Multiview clustering, Nutritional studies
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants