A comparison of 71 binary similarity coefficients: The effect of base rates.

A comparison of 71 binary similarity coefficients: The effect of base rates.
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DOI:
10.1371/journal.pone.0247751
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发表时间:
2021
期刊:
影响因子:
3.7
通讯作者:
Steinley D
Steinley D
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Brusco M;Cradit JD;Steinley D

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有许多心理学应用需要以双模式折叠信息(例如,响应者-属性)二进制矩阵转换为单模式(例如,逐个属性)相似性矩阵。这个过程需要选择二进制属性之间的相似性度量。在生物学、地质学和生态学等领域,已经提出了大量的二元相似系数。虽然以前的研究报告聚类分析的二进制相似系数,一直很少探索集群成员是如何影响的基本利率(百分比)的二进制属性。我们进行了一个模拟实验,比较两个集群的K-中位数分区的71个二进制相似系数的基础上获得的15个不同的基本速率配置下的成对相关性。结果表明,一些子集的系数一致组在一起,无论基本利率。然而,对于某些基本速率,存在组合在一起的系数的其他子集,而对于其他基本速率,则不存在。
There are many psychological applications that require collapsing the information in a two-mode (e.g., respondents-by-attributes) binary matrix into a one-mode (e.g., attributes-by-attributes) similarity matrix. This process requires the selection of a measure of similarity between binary attributes. A vast number of binary similarity coefficients have been proposed in fields such as biology, geology, and ecology. Although previous studies have reported cluster analyses of binary similarity coefficients, there has been little exploration of how cluster memberships are affected by the base rates (percentage of ones) for the binary attributes. We conducted a simulation experiment that compared two-cluster K-median partitions of 71 binary similarity coefficients based on their pairwise correlations obtained under 15 different base-rate configurations. The results reveal that some subsets of coefficients consistently group together regardless of the base rates. However, there are other subsets of coefficients that group together for some base rates, but not for others.
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