Spectral clustering ensemble for image segmentation
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
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This paper focuses on how to automatically determining the suitable clustering number in image segmentation and designs an algorithm of CANA using spectral clustering. Experiment results indicate that ACNA can provide superior performance. An application sample in image punching is introduced.