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An eigenvector variability plot
2009Summary: Principal components analysis is perhaps the most widely used method for exploring multivariate data. We propose a variability plot composed of measures on the stability of each eigenvector over samples as a data exploration tool. We also show that this variability measure gives a good measure on the intersample variability of eigenvectors ...
Tu, I. P., Chen, H., Chen, X.
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The two-steps eigenvector centrality in complex networks
Chaos, Solitons and Fractals, 2023Changjiang Bu
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Efficiency of the principal eigenvector of some triple perturbed consistent matrices
European Journal of Operational Research, 2022Rosário Fernandes, Susana Furtado
exaly
Eigenvalue-Eigenvector Solution
1985In this chapter, methods are presented for solving the free vibration equation for a multi-degree of freedom system. This equation is called the eigenvalue equation. Its solution not only gives the natural frequencies and mode shapes but also allows the set of coupled equations representing the dynamic response of a system to be uncoupled and hence ...
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An eigenvector centrality analysis of world container shipping network connectivity
Transportation Research, Part E: Logistics and Transportation Review, 2020Kam-Fung Cheung +2 more
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Eigenvector centrality for characterization of protein allosteric pathways
Proceedings of the National Academy of Sciences of the United States of America, 2018Christian F A Negre +2 more
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