In many psychological studies variables are measured for some subjects in different conditions. In these cases the available information is stored in a three-way data array. Three-way extensions of Principal Component Analysis have been introduced to summarize such an array through components. Among them a widely used method is the so-called Candecomp/Parafac. Its applicability may be limited by the risk of obtaining degenerate solutions (i.e. solutions with highly collinear, diverging and therefore uninterpretable components). This work focuses on some remedies for avoiding degeneracy based on the use of (hard and/or soft) orthogonality constraints.

Remedies for Degeneracy in Candecomp/Parafac / Giordani, Paolo; Rocci, Roberto. - 167(2016), pp. 213-227. [10.1007/978-3-319-38759-8].

Remedies for Degeneracy in Candecomp/Parafac

GIORDANI, Paolo;ROCCI, Roberto
2016

Abstract

In many psychological studies variables are measured for some subjects in different conditions. In these cases the available information is stored in a three-way data array. Three-way extensions of Principal Component Analysis have been introduced to summarize such an array through components. Among them a widely used method is the so-called Candecomp/Parafac. Its applicability may be limited by the risk of obtaining degenerate solutions (i.e. solutions with highly collinear, diverging and therefore uninterpretable components). This work focuses on some remedies for avoiding degeneracy based on the use of (hard and/or soft) orthogonality constraints.
2016
Quantitative Psychology Research
978-3-319-38757-4
three-way data; candecomp/parafac; degeneracy; orthogonality constraints
02 Pubblicazione su volume::02a Capitolo o Articolo
Remedies for Degeneracy in Candecomp/Parafac / Giordani, Paolo; Rocci, Roberto. - 167(2016), pp. 213-227. [10.1007/978-3-319-38759-8].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/903371
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