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Archetypoids: A new approach to define representative archetypal data

机译:原型:定义代表性原型数据的新方法

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摘要

The new concept archetypoids is introduced. Archetypoid analysis represents each observation in a dataset as a mixture of actual observations in the dataset, which are pure type or archetypoids. Unlike archetype analysis, archetypoids are real observations, not a mixture of observations. This is relevant when existing archetypal observations are needed, rather than fictitious ones. An algorithm is proposed to find them and some of their theoretical properties are introduced. It is also shown how they can be obtained when only dissimilarities between observations are known (features are unavailable). Archetypoid analysis is illustrated in two design problems and several examples, comparing them with the archetypes, the nearest observations to them and other unsupervised methods. (C) 2015 Elsevier B.V. All rights reserved.
机译:引入了新概念原型。原型昆虫分析将数据集中的每个观测值表示为数据集中实际观测值的混合,它们是纯类型或原型。与原型分析不同,原型动物是真实的观察,而不是观察的混合。当需要现有的原型观察而不是虚拟观察时,这是相关的。提出了一种找到它们的算法,并介绍了它们的一些理论特性。还显示了当仅知道观测值之间的相异性(特征不可用)时如何获得它们。原型设计分析在两个设计问题和几个示例中进行了说明,将它们与原型进行了比较,与原型的最近观察以及其他无监督的方法。 (C)2015 Elsevier B.V.保留所有权利。

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