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k-Adic Similarity Coefficients for Binary (Presence/Absence) Data

机译:二进制(存在/不存在)数据的k-Adic相似系数

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摘要

k-Adic formulations (for groups of objects of size k) of a variety of 2-adic similarity coefficients (for pairs of objects) for binary (presence/absence) data are presented. The formulations are not functions of 2-adic similarity coefficients. Instead, the main objective of the the paper is to present k-adic formulations that reflect certain basic characteristics of, and have a similar interpretation as, their 2-adic versions. Two major classes are distinguished. The first class is referred to as Bennani-Heiser similarity coefficients, which contains all coefficients that can be defined using just the matches, the number of attributes that are present and that are absent in k objects, and the total number of attributes. The coefficients in the second class can be formulated as functions of Dice's association indices.
机译:提出了针对二进制(存在/不存在)数据的各种2-adic相似系数(用于对象对)的k-Adic公式(用于大小为k的对象组)。该公式不是2-adic相似系数的函数。相反,本文的主要目的是提出k-adic公式,这些公式反映了其2-adic版本的某些基本特征并具有相似的解释。分为两个主要类别。第一类称为Bennani-Heiser相似系数,它包含可以仅使用匹配项定义的所有系数,k个对象中存在和不存在的属性数量以及属性总数。第二类中的系数可以公式化为Dice关联指数的函数。

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