【摘 要】
：
Singular value decomposition for matrix has been found wide application in data compression,pattern recognition,model classification,etc.There are various a
【机 构】
：
College of Chemistry and Chemical Engineering Xiamen University and the Ministry of Education Key La
【出 处】
：
6th Asia-Pacific Winter Conference on Plasma Spectrochemistr
论文部分内容阅读
Singular value decomposition for matrix has been found wide application in data compression,pattern recognition,model classification,etc.There are various algorithms for processing three-way array data,including paralel factor(PARAFAC)1,alternating trilinear decomposition(ATLD)2,self-weighted alternation trilinear decomposition(SWATLD)3,alternating penalty trilinear decomposition(APTLD)4,etc.
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