I have a very large number of HoG descriptors for 960x540 images and I was wondering if there was any recommendations I could take that would let me reduce the dimensionality of the HoG descriptors that are produced to make the dataset more manageable for BoW and KMeans and what the trade off against predictive accuracy could look like?
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