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1989 | OriginalPaper | Buchkapitel

Relations between Models for Three-Way Factor Analysis and Multidimensional Scaling

verfasst von : Sabine Krolak-Schwerdt, André Kohler

Erschienen in: Conceptual and Numerical Analysis of Data

Verlag: Springer Berlin Heidelberg

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Unconstrained spatial models for analyzing three-way data may be classified by the type of geometric model (distance models, scalar product models), the number of reduced modes (7), the number of spaces and their interrelations (1), to state three of many organizing ways. Number of spaces and their relations refers to a classification of the models into trilinear and quadrilinear cases: a)trilinear models: CANDECOMP and INDSCAL (2) rest on a trilinear model as well as PARAFAC (4) and SUMMAX (9).b)quadrilinear models: Tucker’s Three-Mode Factor Analysis (10), (7) and SUM-MAX in its extended form (9) use a quadrilinear model.

Metadaten
Titel
Relations between Models for Three-Way Factor Analysis and Multidimensional Scaling
verfasst von
Sabine Krolak-Schwerdt
André Kohler
Copyright-Jahr
1989
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-75040-3_9