Hi guys, for school I need to use OPTICS (clustering algorithm) on at least two data sets for a project. For the first one, I'm thinking of doing some classic document clustering. But for the second one, I'd like to do something a bit funnier. I'm thinking of clustering faces. The goal would be to cluster faces that are similar, and the dataset would have many images of the same person to see if the clustering works. I think I must reduce the size of the image first.
Do you think it's feasible and how would you prepare the data, would you feed directly the matrix representation of the image?

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