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PCA to reduce dimensionality of feature vector

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Nazeera Sheth
Nazeera Sheth on 18 Dec 2017
Answered: Matlaber on 19 Feb 2019
I have a feature vector of size 4096x180 ( 180 samples ). I want to reduce the dimensionality using PCA. I have looked at various codes available but not able to apply it. How do I write the code in Matlab 2014?

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Answers (2)


Matlaber
Matlaber on 19 Feb 2019
I just want to have a simple PCA to reduce my dimensionality of let say 400 * 5000 to 400 * 4
meaning reduce from 5000 to 4.
I am not sure where can I set the value of reduction.
coeff = pca(X)
I am trying to follow:
load hald
Then:
The dataset of ingredient is 13 * 4
Capture.PNG
coeff = pca(ingredients)
Output:
coeff = 4×4
-0.0678 -0.6460 0.5673 0.5062
-0.6785 -0.0200 -0.5440 0.4933
0.0290 0.7553 0.4036 0.5156
0.7309 -0.1085 -0.4684 0.4844
I am wondering can i change it to output of 13 *2 (13 x 2)

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