识别集群间的关联规则

International Conference on Soft Computing as Transdisciplinary Science and Technology Pub Date : 2008-10-28 DOI:10.1145/1456223.1456307

M. Pagani, Gloria Bordogna

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引用次数: 0

摘要

本文介绍了一种新的基于(模糊)聚类比较技术的聚类间关联规则识别方法。我们提出的过程在很大程度上是基于我们推广到模糊上下文的聚类比较技术的使用。所描述的方法可用于探索性数据分析;它的复杂度与数据集中实体的数量成线性关系。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Identification of association rules between clusters

In this paper we introduce a novel procedure, based on (fuzzy) clustering comparison techniques, to identify association rules between clusters. The procedure we propose is largely based on the use of clustering comparison techniques that we generalized to the fuzzy context. The described methodology can be useful for exploratory data analysis; its complexity is linear to the number of the entities in the data set.

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International Conference on Soft Computing as Transdisciplinary Science and Technology

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