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Correlation Analysis of Binary Similarity and Distance Measures on Different Binary Database Types

机译：不同二元数据库类型的二元相似性和距离测量的相关分析

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Binary similarity and dissimilarity measures are of great importance to pattern recognition and other fields. Here, correlations between pairs of 76 binary similarity and distance measures are studied. Some similarity measures are highly correlated while others are not, and the variability of the correlation can depend on the characteristics of the underlying binary data. To better understand the variation of the correlations, we define three basic types of binary databases. The variations of the correlations on these database types are statistically analyzed, and database variant and invariant correlations are identified. In addition to common linear correlation patterns between measures, numerous unusual and interesting correlation patterns are also presented.
机译：二元相似性和不同措施对模式识别和其他领域具有重要意义。这里，研究了76对二元相似性和距离测量的对之间的相关性。一些相似度测量是高度相关的，而其他相似度措施是高度相关的，并且相关性的可变性可以取决于底层二进制数据的特征。为了更好地理解相关性的变化，我们定义了三种基本类型的二进制数据库。在统计上分析这些数据库类型上的相关性的变化，并且识别数据库变体和不变相关性。除了措施之间的常见线性相关模式之外，还呈现了许多异常和有趣的相关模式。

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