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The data I'm using is a set of images from 10 different categories. For the training data I have label values that tell me which image belongs in which category. I am trying to reduce the dimensionality to 2 dimensions and estimate label values of the dimension reduced testing data. To do this I'm using KSPCA with various kernels, but I'm stuck trying to figure out how to estimate the labels (which category each image fits in) for the testing set. Just to add some more info, I'm using the following algorithm:
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