摘要: 首先,基于每次迭代计算距离当前球心最远的两个点,提出一种求解n维空间中m个点的最小闭包球问题的(1+ε)-近似算法。对于ε∈(0,1),建立了该算法的核心集大小和计算复杂度,分别为O(1/ε)和O(mn/ε)。然后,给出一种积极集策略,每次迭代计算距离当前球心最远的N个点。将该策略结合到提出的算法中,得到一个基于积极集策略的算法。最后,实验结果表明基于积极集策略的算法能够快速、有效地求解mn的大规模数据集的近似最小闭包球。
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