Experimental analysis of crisp similarity and distance measures
Experimental analysis of crisp similarity and distance measures
复制标题
清晰相似度和距离度量的实验分析
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
R. John
中科院分区：
文献类型：
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作者：
Leila Baccour;R. John
距离度量是许多分类系统中的一项要求。欧几里德距离是这些系统中最常用的。然而，存在大量的距离和相似性度量。本文提出了一种用于形状分类和阿拉伯句子识别的清晰距离和相似性度量的实验分析。
Distance measures are a requirement in many classification systems. Euclidean distance is the most commonly used in these systems. However, there exists a huge number of distance and similarity measures. In this paper we present an experimental analysis of crisp distance and similarity measures applied to shapes classification and Arabic sentences recognition.