基于模糊划分的数值距离

EUSFLAT Conf. Pub Date : 2011-08-06 DOI:10.2991/EUSFLAT.2011.99

S. Guillaume, B. Charnomordic, P. Loisel

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引用次数: 3

摘要

本文利用模糊划分的方法，研究了一种新的考虑专家知识的距离函数。它考虑概念之间的符号距离，等价于由三角形隶属函数构成的正则分区的欧几里得距离。研究了它的行为与欧几里得距离的比较，并表明了它对聚类应用的兴趣。

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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A numerical distance based on fuzzy partitions

This work studies a new distance function which takes into account expert knowledge by making use of fuzzy partitions. It considers the symbolic distances between concepts and is equivalent to the Euclidean distance for regular partitions made of triangular membership functions. Its behaviour is investigated in comparison with that of the Euclidean distance and its interest is shown for clustering applications.

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来源期刊

EUSFLAT Conf.

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