Journal of the Japan Statistical Society, Japanese Issue
Online ISSN : 2189-1478
Print ISSN : 0389-5602
ISSN-L : 0389-5602
Special Section: Multivariate Data Analysis with Matrix Factorization
The Tensor Rank Problem (from Computational Algebraic View Points)
Toshio SakataToshio SumiMitsuhiro MiyazakiTakanori Maehara
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2015 Volume 44 Issue 2 Pages 409-450

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Abstract
Tensors are multiarray data of real (complex) cell values similar to contingency tables of integer cell values which is familar to statisticians. Needless to say, multiway data arise in various applied field and theorefore the need of methods of analysing such array data is quite high. The essence of data analysis is in decomposing data and extracting important components. In this article, we focus on the parafac decomposition of multiarray datum and especially on rank problem of PARAFAC decompositions from computational algebraic views.
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© 2015 Japan Statistical Society
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