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NCAC: A Novel Chinese Address Clustering Algorithm

机译:NCAC:一种新颖的中文地址聚类算法

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This paper proposes a novel Chinese customer address clustering algorithm by considering both the customers’ postal code and the text clustering technique. Based on thousands of student hometown addresses in a university, an experiment is done and analyzed. The results show that the algorithm presents in this paper has the advantages of high effectiveness of computation and good clustering ability when comparing with the Standard K-means algorithm.
机译:本文结合客户的邮政编码和文本聚类技术,提出了一种新颖的中文客户地址聚类算法。基于一所大学中成千上万个学生的家乡地址,进行了一个实验并进行了分析。结果表明,与标准K-means算法相比,本文提出的算法具有计算效率高,聚类能力强的优点。

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