Tolerance Distances on Minimal Coverings

Catalin Zara, D. Simovici
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Abstract

We define distances on the space of minimal coverings of a finite set that generalize entropy distances on partitions, and establish connections between these spaces. The metric space of minimal coverings has multiple applications in machine learning and data mining, in areas such as multi-label classifications and determination of frequent item sets.
最小覆盖层的公差距离
我们定义了有限集合的最小覆盖空间上的距离,推广了分区上的熵距离,并建立了这些空间之间的联系。最小覆盖度量空间在机器学习和数据挖掘中有多种应用,如多标签分类和频繁项集的确定。
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