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

Author
Sevilla-Villanueva, Beatriz; Gibert, Karina; Sànchez-Marrè, M.
Type of activity
Journal article
Journal
Pattern recognition letters
Date of publication
2017-02-10
Volume
93
First page
85
Last page
94
DOI
https://doi.org/10.1016/j.patrec.2017.02.008 Open in new window
Repository
http://hdl.handle.net/2117/107553 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0167865517300399 Open in new window
Abstract
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...
Citation
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.
Keywords
Automatic profiling, Cluster Interpretation, Crossing clustering, Multiview clustering, Nutritional studies
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
KEMLG - Knowledge Engineering and Machine Learning Group

Participants