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We propose a new clustering algorithm called SMIP. It uses a statistics method to obtain the clustering parameters automatically. Mathematics morphology theory is introduced into clustering to acquire high speed and accuracy. Based on it, we realize incremental clustering and distribution parallel clustering. Our incremental clustering can yield sign speed-up factors for new coming data in an already...
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