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Tensor Deflation for CANDECOMP/PARAFAC— Part II: Initialization and Error Analysis

机译:CANDECOMP / PARAFAC的张量收缩—第二部分:初始化和错误分析

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In Part I of the study of the tensor deflation for CANDECOMP/PARAFAC, we have shown that the rank-1 tensor deflation is applicable under some conditions. Part II of the study presents several initialization algorithms suitable for the algorithm proposed in Part I. In addition, Part II contains an algorithm for the case when one or more factor matrices in the estimated model is constrained to be orthogonal. Finally, Part II provides an error analysis of the tensor deflation algorithm, which shows that there is a marginal loss of accuracy of the deflation algorithm compared to the ordinary CP decomposition.
机译:在CANDECOMP / PARAFAC的张量放气研究的第一部分中,我们证明了1级张量放气在某些条件下适用。该研究的第二部分介绍了几种适合于第一部分中提出的算法的初始化算法。此外,第二部分还包含一种算法,用于将估计模型中的一个或多个因子矩阵约束为正交的情况。最后,第二部分提供了张量放气算法的误差分析,结果表明与普通的CP分解相比,放气算法的精度存在边际损失。

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