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The Application of Cluster Analysis Method in Case-Based Reasoning System

机译:聚类分析方法在基于案例的推理系统中的应用

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In the case-based reasoning system, it is the key and core of the system to quickly and accurately retrieve the appropriate case from the case base. Through case study, the case base will continue to increase. This paper presents in a case-based reasoning system, using cluster analysis techniques in case retrieval. User-entered target cases is matched with the abstract case to find the most similar abstract case, and then use case retrieval again in these abstract cases to get one or more similar specific cases. The cluster analysis was used to establish a multilevel index for the case base to improve the case retrieval efficiency.
机译:在基于案例的推理系统中,从案例库中快速准确地检索适当的案例是系统的关键和核心。通过案例研究,案例基础将继续增加。本文提出了一种基于案例的推理系统,在案例检索中使用了聚类分析技术。将用户输入的目标案例与抽象案例匹配,以找到最相似的抽象案例,然后在这些抽象案例中再次使用案例检索,以获取一个或多个相似的特定案例。利用聚类分析为案例库建立多级索引,以提高案例检索效率。

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