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.
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.
数据挖掘的任务有关联分析、时序模式、聚类、分类与预测等。
The tasks of data mining include association rules analysis, time series module, cluster analysis, classification and predication and so on.
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