pca
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Return Value: The rotated data | Return Value: The rotated data | ||
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| − | [[Syntax]]: pca(image [, ignore | + | [[Syntax]]: pca(image [, ignore=FLOAT][, struct=BOOL]) |
'image' - A N-band image or data array | 'image' - A N-band image or data array | ||
Revision as of 13:23, 9 February 2011
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Contents: Description, Arguments, Usage, Examples, Images, Sub-Functions, Related Functions, Source Supported Under Version: > 1.02
Description Principal Component Analysis Compute the principal components of an N band real data image NOTE: for the old 3 band pca version see pca_byte(). This version replaced the old byte version on 2-9-2011
Arguments and Return Values Arguments: A numeric array and ignore value Return Value: The rotated data
Usage Syntax: pca(image [, ignore=FLOAT][, struct=BOOL]) 'image' - A N-band image or data array 'ignore' - the ignore value for the black space of an image 'struct' - return the eigen vectors/values and covariance matrix
Examples dv> a 600x600x3 array of byte, bip format [1,080,000 bytes] dv> b=pca(a) data: 600x600x3 array of double, bip format [8,640,000 bytes]
Images Original Image
Three principal components
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Recent Library Changes Created On: 02-15-2006 |
