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PCA

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3.5 | 2 ratings Rate this file 40 Downloads (last 30 days) File Size: 215 KB File ID: #42203 Version: 1.0

PCA

by

Devinder (view profile)

 

this implements the PCA algorithm. User can choose/input the no.of features in the reduced Dataset.

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Description

this implements the well known PCA algorithm. It returns a Dataset with reduced no. of dimensions/features. The reduction factor i.e how many features the final/reduced Dataset should contain can be chosen by the user.

It contains a illustration dataset of faces (face.mat)(please see Read-me file) to show the usage.

Required Products MATLAB
MATLAB release MATLAB 7.10 (R2010a)
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Comments and Ratings (3)
18 Apr 2015 Andy Zhang

Hiļ¼ŒDear devinder,thanks a lot for your share.I find a question when i use the code to reduce the dimensions of face dataset,the code process the data very very slow on the condition of the dimension is high such as 10240,do you have idears about how to resolve this question?

29 Mar 2015 Chris Jademan

Is the final result supposed to be like this? Sorry, I am newbie in PCA.

ans 10 1o 10
mu 1x1024double -46.69... 40.2337
S 1024x1024double <Too... <Too...
sigma 1x1024double 29.3152 62.2655
U 1024x1024double <Too... <Too...
x 100x1024double -127.8... 126.13
x_norm100x1024double -3.8725... 3.8586
x-reduce 100x10double -47.67... 49.6306

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21 Dec 2013 handan

handan (view profile)

 

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