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I have 5 folders (each contain about 200 RGB images), I want to use "Principal Component Analysis" for image classification

I have 5 folders (which represent 5 classes, and each contain about 200 colored images), I want to use "Principal Component Analysis" for image classification. previously I used Resnet to predict to which class each image belong. but now I want to use the PCA.

I am trying to apply that with code, any help please?

previously I used Resnet to predict to which class each image belong. but now I want to use the PCA.

Solution

  • PCA is not a method for classification. It is a dimensional reduction method that is sometimes used as a processing step.

    Take a look at this CrossValidated post for some more explanation. It has an example.

    (FYI, saw this because you pinged me via the MATLAB Answers forum.)