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A generalized distance based on a generalized triangle inequality

机译:基于广义三角不等式的广义距离

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In this paper we present a new generalization of the mathematical notion of distance. It is based on the abstraction of the codomain of the distance function. The resulting functions must satisfy a generalized triangular inequality, which depends only on the order structure of the valuation space, i.e a monoid structure is not required. This type of functions will be called i-Distances (i-metrics, i-quasi-metric, etc.). We show that they generate a topology in a very natural way based on open balls. This paper generalizes (Santanaand Santiago, 2013) which has been successfully applied in the field of Clustering Algorithms (see Silva et al., 2014, 2015). An example in the field of Interval Mathematics is also investigated. The resulting topology is Hausdorf and regular but non-metrizable, what means that it cannot be generated by an usual metric. (C) 2016 Elsevier Inc. All rights reserved.
机译:在本文中,我们提出了距离数学概念的新概括。它基于距离函数的共域的抽象。生成的函数必须满足广义三角不等式,该三角不等式仅取决于评估空间的顺序结构,即不需要等边线结构。这种类型的函数将被称为“ i距离”(i-metrics,i-准度量等)。我们展示了它们基于开球以非常自然的方式生成拓扑。本文进行了概括(Santanaand Santiago,2013年),该方法已成功应用于聚类算法领域(参见Silva等人,2014年,2015年)。还研究了区间数学领域的一个例子。生成的拓扑结构是Hausdorf且规则的,但是不可度量,这意味着它不能通过常规度量生成。 (C)2016 Elsevier Inc.保留所有权利。

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