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Clustering of the structures by using "snakes-&-dragons" approach, or correlation matrix as a signal.


ABSTRACT: Biological, ecological, social, and technological systems are complex structures with multiple interacting parts, often represented by networks. Correlation matrices describing interdependency of the variables in such structures provide key information for comparison and classification of such systems. Classification based on correlation matrices could supplement or improve classification based on variable values, since the former reveals similarities in system structures, while the latter relies on the similarities in system states. Importantly, this approach of clustering correlation matrices is different from clustering elements of the correlation matrices, because our goal is to compare and cluster multiple networks-not the nodes within the networks. A novel approach for clustering correlation matrices, named "snakes-&-dragons," is introduced and illustrated by examples from neuroscience, human microbiome, and macroeconomics.

SUBMITTER: Andreev VP 

PROVIDER: S-EPMC6786638 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Clustering of the structures by using "snakes-&-dragons" approach, or correlation matrix as a signal.

Andreev Victor P VP   Liu Gang G   Zee Jarcy J   Henn Lisa L   Flores Gilberto E GE   Merion Robert M RM  

PloS one 20191010 10


Biological, ecological, social, and technological systems are complex structures with multiple interacting parts, often represented by networks. Correlation matrices describing interdependency of the variables in such structures provide key information for comparison and classification of such systems. Classification based on correlation matrices could supplement or improve classification based on variable values, since the former reveals similarities in system structures, while the latter relie  ...[more]

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