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arXiv 0812.1107stat.ME
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关于可分性指数的一个注记

A note on the separability index

Linda Mthembu, Tshilidzi Marwala

摘要:

在区分来自不同类别的对象时,这些类别越可分离,则可以使用的分类器的计算成本越低且越复杂。因此,人们寻求一种测量方法,可以快速捕获类之间的这种可分性概念,同时对其量化的内容进行直观的解释。先前提出的可分性度量,可分性指数(SI)已被证明直观地捕捉类可分性属性非常好。这篇简短的说明强调了这一度量的局限性,并提出了一个轻微的变化,通过将其与另一种形式的可分性度量相结合,以捕获可分性指数未涵盖的数量。

英文摘要:

In discriminating between objects from different classes, the more separable these classes are the less computationally expensive and complex a classifier can be used. One thus seeks a measure that can quickly capture this separability concept between classes whilst having an intuitive interpretation on what it is quantifying. A previously proposed separability measure, the separability index (SI) has been shown to intuitively capture the class separability property very well. This short note highlights the limitations of this measure and proposes a slight variation to it by combining it with another form of separability measure that captures a quantity not covered by the Separability Index.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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