An overview of statistical decomposition techniques applied to complex systems

DOI10.1016/J.CSDA.2007.09.012zbMath1452.62424DBLPjournals/csda/TuncerTA08OpenAlexW2073448440WikidataQ41993288 ScholiaQ41993288MaRDI QIDQ1023563

David B. Allison, Murat M. Tanik, Yalcin Tuncer

Publication date: 12 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2735056

zbMATH Keywords

entropycomplexitysingular value decompositionmutual informationblind source separationindependent component analysisinformationintegrationcompositionbipartite networkinformation transfernegentropynetwork component analysis: principal component analysis

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25)

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Cites Work

• Blind separation of sources. I: An adaptive algorithm based on neuromimetic architecture
• Independent component analysis, a new concept?
• A unifying information-theoretic framework for independent component analysis
• Principal component analysis.
• On the Early History of the Singular Value Decomposition
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