Mohammad Amin Adibi

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An online clustering method based on a time-varying quadratic programming is proposed which can precisely detect streaming data clustering structure when no assumption is desired on the shape and density of data classes. In the proposed method, online clustering is achieved through simulating some dynamical equations which yield optimum solution of the(More)
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