pca

Contents: Description, Arguments, Usage, Examples, Images, Sub-Functions, Related Functions, Source Supported Under Version: > 1.02 Current .dvrc 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 3-band Image: Three principal components: Original 6-band Image: Six principal components:

DavinciWiki Mini-Nav Bar Contents Functions Function Categories Common Procedures Glossary Download Davinci Change Log News Mailing List Contact Developers davinci-dev [AT] mars.asu.edu All other topics See navigation on the left Major Sub-Functions mxm eigen covar Related Functions eigen2 kt1 kt2 kt3 kt4 kt5 kt6 pca2 pca_byte general_science.dvrc pca() Recent Library Changes Change Log Created On: 02-15-2006 Modified On: 07-16-2012