An efficient algorithm for PARAFAC of three-way data with large numbers of observation units

Henk A.L. Kiers; Wim P. Krijnen

doi:10.1007/bf02294592

An efficient algorithm for PARAFAC of three-way data with large numbers of observation units

Henk A.L. Kiers, Wim P. Krijnen

Statistical Techniques for Applied Research

University of Groningen, Department of Psychology

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

The CANDECOMP algorithm for the PARAFAC analysis of n × m × p three-way arrays is adapted to handle arrays in which n > rnp more efficiently. For such arrays, the adapted algorithm needs less memory space to store the data during the iterations, and uses less com- putation time than the original CANDECOMP algorithm. The size of the arrays that can be handled by the new algorithm is in no way limited by the number of observation units (n) in the data.

Original language	English
Pages (from-to)	147-152
Journal	Psychometrika. Vol 67(1)
Volume	56
Issue number	1
DOIs	https://doi.org/10.1007/bf02294592
Publication status	Published - Mar 1991

Keywords

CANDECOMP
PARAFAC

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10.1007/bf02294592

Cite this

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abstract = "The CANDECOMP algorithm for the PARAFAC analysis of n × m × p three-way arrays is adapted to handle arrays in which n > rnp more efficiently. For such arrays, the adapted algorithm needs less memory space to store the data during the iterations, and uses less com- putation time than the original CANDECOMP algorithm. The size of the arrays that can be handled by the new algorithm is in no way limited by the number of observation units (n) in the data.",

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An efficient algorithm for PARAFAC of three-way data with large numbers of observation units

Abstract

Keywords

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