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Estimation of the dynamics of two-dimensional clusters

机译:二维团簇的动力学估计

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A method to estimate the dynamics of clusters is presented. An existing static clustering method, which makes use of a Hamiltonian function, is exploited in the dynamic case, when the points to cluster do not remain in fixed positions but move with unknown dynamics. The time is discretised and the static algorithm is applied to each time-instant. While identifying each cluster, the algorithm also performs the computation of the moments of the cluster. By estimating the dynamics of the moments an approximate estimation of the dynamics of the cluster is obtained. An illustrative example shows the performance of the method.
机译:提出了一种估计集群动态的方法。在动态情况下,当要聚类的点不保持固定位置而是以未知的动力学运动时,会利用现有的利用哈密顿函数的静态聚类方法。时间离散化,并且静态算法应用于每个时间即时。在识别每个群集时,该算法还执行群集力矩的计算。通过估计力矩的动态,可以得到群集动态的近似估计。一个说明性示例示出了该方法的性能。

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