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Case retrieval method based on clustering Algorithm

机译:基于聚类算法的案例检索方法

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Case retrieval is a central part in Case-based reasoning (CBR), in order to improve accuracy and efficiency of case retrieval, an improving method based on clustering using of self-organizing maps (SOM) was proposed in this paper. The advantage of this method is Cases' visual clustering result provided by SOM networks greatly facilitating retrieval process and decreasing the retrieval time.
机译:案例检索是在基于案例的推理(CBR)的中央部分,以提高案例检索的准确性和效率,本文提出了一种基于自组织地图(SOM)的基于聚类的改进方法。该方法的优点是SOM网络提供的案例的视觉聚类结果非常促进检索过程并降低检索时间。

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