Equivalency between vertices and centers-coupled-with-radii principal component analyses for interval data. (English) Zbl 1328.62374

Summary: Centers and vertices principal component analyses are common methods to explain variations within multivariate interval data. We introduce multivariate equicorrelated structures to vertices’ covariance. Assuming the structure, we show equivalence between centers and vertices methods by proving their eigensystems proportional.


62H25 Factor analysis and principal components; correspondence analysis
62H12 Estimation in multivariate analysis
Full Text: DOI


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