1.0 | 1 rating Rate this file 52 downloads (last 30 days) File Size: 4.3 KB File ID: #22905

Principal Component Analysis for Large Matrix

06 Feb 2009

No BSD License

This function will occupy large storage space during running time.

File Information
Description	This function process the original matrix row by row. Firstly compute the mean vector and save it. Then scale the matrix and compute the eigenvector and eigenvalue by matlab function. Finally project the matrix according to the eigensapce.
Required Products	MATLAB Compiler
MATLAB release	MATLAB 7.6 (R2008a)

Tags for This File
Everyone's Tags	dimension reducing, machine learning, pattern recognition, pca large matrix
Tags I've Applied
Add New Tags	Please login to tag files.

Comments and Ratings (1)
06 Feb 2009	Michael Jordan

Please login to add a comment or rating.

Tag Activity for this File
Tag	Applied By	Date/Time
pca large matrix	Richang Hong	06 Feb 2009 12:08:45
machine learning	Richang Hong	07 Feb 2009 22:51:30
pattern recognition	Richang Hong	07 Feb 2009 22:51:30
dimension reducing	Richang Hong	07 Feb 2009 22:51:30

MATLAB Central Terms of Use

NOTICE: Any content you submit to MATLAB Central, including personal information, is not subject to the protections which may be afforded information collected under other sections of The MathWorks, Inc. Web site. You are entirely responsible for all content that you upload, post, e-mail, transmit or otherwise make available via MATLAB Central. The MathWorks does not control the content posted by visitors to MATLAB Central and, does not guarantee the accuracy, integrity, or quality of such content. Under no circumstances will The MathWorks be liable in any way for any content not authored by The MathWorks, or any loss or damage of any kind incurred as a result of the use of any content posted, e-mailed, transmitted or otherwise made available via MATLAB Central. Read the complete Terms prior to use.