成像侦察任务聚类是提高成像侦察卫星利用效率的重要手段。

Clustering imaging reconnaissance tasks is a significant way to improve imaging reconnaissance satellite's utilizable efficiency.

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通过评价在两个消歧任务上的聚类结果，你需要探讨不同表示方法的优点并研究学习方法的性质。

By evaluating the resultant clustering on two disambiguation tasks, you will explore the merits of different representations and study the properties of the learning method.

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我将使用最根本、最重要的查询和聚类算法，进行许多先进的任务，举例来说明我们如何解决这些问题。

I will use query and clustering, which are of fundamental importance to many advanced tasks, as examples to illustrate how we address these issues.

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