The power method for computing largest eigenvectors (principal components) of a dispersion matrix using minimal computer memory.

C. V. Dolan; P. C. Molenaar

doi:10.1111/j.1469-8986.1990.tb00399.x

The power method for computing largest eigenvectors (principal components) of a dispersion matrix using minimal computer memory.

C. V. Dolan, P. C. Molenaar

Human Development and Family Studies

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Original language	English (US)
Pages (from-to)	360-361
Number of pages	2
Journal	Psychophysiology
Volume	27
Issue number	3
DOIs	https://doi.org/10.1111/j.1469-8986.1990.tb00399.x
State	Published - May 1990

All Science Journal Classification (ASJC) codes

General Neuroscience
Neuropsychology and Physiological Psychology
Experimental and Cognitive Psychology
Neurology
Endocrine and Autonomic Systems
Developmental Neuroscience
Cognitive Neuroscience
Biological Psychiatry

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10.1111/j.1469-8986.1990.tb00399.x

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title = "The power method for computing largest eigenvectors (principal components) of a dispersion matrix using minimal computer memory.",

author = "Dolan, {C. V.} and Molenaar, {P. C.}",

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The power method for computing largest eigenvectors (principal components) of a dispersion matrix using minimal computer memory.

All Science Journal Classification (ASJC) codes

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