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A Standardized Treatment of Binary Similarity Measures with an Introduction to k-Vector Percentage Normalized Similarity

机译:二进制相似性度量的标准化处理,并介绍k向量百分比归一化相似性

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This paper attempts to codify a standard nomenclature for similarity measures based on recent literature and to advance the field of similarity measures through the introduction of non-binary similarity between more than two attribute vectors. The nomenclature standardization is accomplished through the integration of common terminology into non-binary similarity measures, and the refinement of the terminology with regard to k-vector binary and non-binary measures. This nomenclature standardization lays the groundwork for the introduction of k-vector percentage normalized similarity measures that follow the same fundamental form as pre-existing binary measures; a method not previously documented.Mathematics Subject Classification: 68; 91Keywords: Binary Similarity; Nonbinary Similarity; Nonparametric SimilarityTesting; Multivector Similarity
机译:本文试图根据最近的文献来编纂相似性度量的标准命名法,并通过引入两个以上属性向量之间的非二进制相似性来推进相似性度量的领域。通过将通用术语集成到非二进制相似性度量中,以及对k矢量二进制和非二进制度量中的术语进行完善,可以实现术语标准化。这种术语标准化为引入k向量百分比归一化相似性度量奠定了基础,这些度量遵循与现有二进制度量相同的基本形式。数学学科分类:68; 91关键字:二进制相似度;非二进制相似性;非参数相似性测试;多向量相似度

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