Unsupervized Image Clustering With SIFT-Based Soft-Matching Affinity Propagation

IEEE Signal Processing Letters, pp. 461-464, 2017.

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Abstract:

It is known that affinity propagation can perform exemplar-based unsupervised image clustering by taking as input similarities between pairs of images and producing a set of exemplars that best represent the images, and then assigning each nonexemplar image to its most appropriate exemplar. However, the clustering performance of affinity ...More

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