Principal component analysis of three-mode data by means of alternating least squares algorithms
作者： Pieter M. Kroonenberg , Jan de Leeuw
DOI: 10.1007/BF02293599
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摘要: A new method to estimate the parameters of Tucker's three-mode principal component model is discussed, and convergence properties alternating least squares algorithm solve estimation problem are considered. special case general Tucker model, in which analysis only performed over two three modes briefly outlined as well. The Miller & Nicely data on confusion English consonants used illustrate programs TUCKALS3 TUCKALS2 incorporate algorithms for models described.
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sci-hub.se 参考文章(24)
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