pca
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Principal Component Analysis | Principal Component Analysis | ||
| − | Compute the principal components | + | Compute the principal components of a three band [[byte]] image |
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Arguments: A numeric array and ignore value | Arguments: A numeric array and ignore value | ||
Revision as of 14:19, 28 March 2006
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Contents: Description, Arguments, Usage, Examples, Images, Sub-Functions, Related Functions, Source Supported Under Version: >1.00
Description Principal Component Analysis Compute the principal components of a three band byte image
Arguments and Return Values Arguments: A numeric array and ignore value Return Value: The rotated data
Usage Syntax: pca(image) 'image' - A numeric array 'ignore' - An optional ignore value for matrix calculations
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 |
