The general dynamic clustering algorithms are used by static samples. The results of clustering not only rely on the original classification, but easily get into local optimum.

一般的动态聚类算法都是针对静态样本数据的，其聚类结果不仅依赖初始分类，而且易陷入局部极小。

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Greatly strengthens requirements for the training of all original classification authorities (OCAs) and the much larger number of derivative classifiers.

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Mandates a review by all departments and agencies to ensure that delegations of original classification authority are as limited as possible.

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It greatly strengthens the requirements for training and oversight of all original classification authorities and the much larger number of derivative classifiers.

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