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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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Connectivity evaluation of large road network by capacity-weighted eigenvector centrality analysis
Transportmetrica A: Transport Science, 2021Kam-Fung Cheung +2 more
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Efficiency of the principal eigenvector of some triple perturbed consistent matrices
European Journal of Operational Research, 2022Susana Furtado, Rosario Fernandes
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Interpreting Moran Eigenvector Maps with the Getis-Ord Gi* Statistic
Professional Geographer, 2021Daniel Griffith
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Eigenvector centralization as a measure of structural bias in information aggregation
Journal of Mathematical Sociology, 2022Phillip Bonacich
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Three Hypergraph Eigenvector Centralities
SIAM Journal on Mathematics of Data Science, 2019Austin Benson
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