A methodology to discover and understand complex patterns: Interpreted Integrative Multiview Clustering (I2MC)

•The proposed I2MC has some advantages regarding classical hierarchical methods.•I2MC methodology is suitable for understanding profiles of real data.•Proposed Cluster Interpretation methodology CI-IMS obtains automatic profiles.•The proposed Sensitivity Analysis with the generalized Test-Value allo...

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Bibliographic Details
Published in:	Pattern recognition letters Vol. 93; pp. 85 - 94
Main Authors:	Sevilla-Villanueva, Beatriz, Gibert, Karina, Sànchez-Marrè, Miquel
Format:	Journal Article Publication
Language:	English
Published:	Amsterdam Elsevier B.V 01.07.2017 Elsevier Science Ltd Elsevier
Subjects:	41 Approximations and expansions 65 Numerical analysis 65D Numerical approximation and computational geometry Automatic profiling Classificació AMS Cluster Interpretation Clustering Complex variables Complexity Crossing clustering Data analysis Datasets Geometria computacional Matemàtiques i estadística Methodology Multiview Clustering Nutrition Nutrition research Nutritional studies Partitions Àrees temàtiques de la UPC Cluster Interpretation Multiview Clustering Crossing clustering 41A10 65D05 65D17 Nutritional studies Automatic profiling 41A05
ISSN:	0167-8655, 1872-7344
Online Access:	Get full text
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