Title :
Parallel factor analysis by means of simultaneous matrix decompositions
Author :
De Lathauwer, Lieven
Author_Institution :
Lab. ETIS, UMR
Abstract :
In this paper we consider simultaneous matrix decomposition approaches to parallel factor analysis. We consider cases in which the rank is smaller than or equal to at least two, resp. at least one, tensor dimension(s)
Keywords :
matrix decomposition; tensors; matrix decompositions; parallel factor analysis; tensor dimension; Algebra; Convergence; Cost function; Councils; Data analysis; Food industry; Independent component analysis; Matrix decomposition; Psychometric testing; Tensile stress;
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing, 2005 1st IEEE International Workshop on
Conference_Location :
Puerto Vallarta
Print_ISBN :
0-7803-9322-8
DOI :
10.1109/CAMAP.2005.1574200
