Principal component analysis for interval-valued observations

One feature of contemporary datasets is that instead of the single point value in the p‐dimensional space ℜp seen in classical data, the data may take interval values thus producing hypercubes in ℜp. This paper studies the vertices principal components methodology for interval‐valued data; and provi...

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Veröffentlicht in:	Statistical analysis and data mining 2011-04, Vol.4 (2), p.229-246
Hauptverfasser:	Douzal-Chouakria, A., Billard, L., Diday, E.
Format:	Artikel
Sprache:	eng
Schlagworte:	correlations inertia Mathematics Statistics Statistics Theory vertex contributions vertices principal components
Online-Zugang:	Volltext
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