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I saw that sometime dimensionality reduction procedures (for example: Principal Component Analysis) are used before classification and might help to improve the accuracy of the classifier. Are you planning on using any?
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Thanks, such a good point! I had no plan for using it since I think PCA can improve the speed and quality of the result, in some models like Neural Networks, by reducing the dimension of the data. I’m not sure if it is applicable to the Haxby data set but will take a look to see if I can run Functional principal component analysis on it!
I saw that sometime dimensionality reduction procedures (for example: Principal Component Analysis) are used before classification and might help to improve the accuracy of the classifier. Are you planning on using any?
The text was updated successfully, but these errors were encountered: