Comparative Study of Complex Parallel Factor Analysis and Parallel Factor Analysis

Hui Zeng, Zhinong Li, Zewen Zhou
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引用次数: 1

Abstract

The running time and the convergence between traditional parallel factor trilinear alternating least squares algorithm (TALS) algorithm and complex parallel factor (COMFAC) algorithm is compared by the experiment. The experiment result shows that both methods can obtain good separation performance. However, the traditional parallel factor separation algorithm has the higher complexity and the slower convergence. The complex parallel factor analysis can improve the convergence of the the traditional parallel factor analysis. The solution of complex parallel factor is usually very close to the least squares solution with only a few iterations.
复杂平行因子分析与平行因子分析的比较研究
通过实验比较了传统并行因子三线性交替最小二乘算法(tal)和复并行因子(COMFAC)算法的运行时间和收敛性。实验结果表明,两种方法均能获得较好的分离效果。然而,传统的并行因子分离算法具有较高的复杂度和较慢的收敛速度。复杂并行因子分析可以提高传统并行因子分析的收敛性。复杂并行因子的解通常非常接近最小二乘解,只需少量迭代。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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