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cluster similar keypoints in a set of near similar images

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Hello, in a project I'm using SURF to extract keypoints from a set of near similar images. The images are near similar, so they have a lot of similar keypoints and a few keypoints that are different. My goal is to find groups of keypoints that matched by all images is there an idea how to solve this? I can't use kmeans, because i doesn't know something about the `k`

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