This paper presents an overview of curve clustering from the similarity characteristics perspective, with a goal of providing useful advice and references regarding fundamental concepts that are accessible to the broad community of curve clustering practitioners. We introduce a new taxonomy of curve clustering by proposing four major similarity characteristics. We reviewed some contributions to curve clustering with respect to their similarity characteristics along with their applications. Lastly, we give an in-depth discussion of the overall challenges in this field with respect to similarity characteristics, highlight open research questions and discuss guidelines for further progress.

本文从相似性特征的角度对曲线聚类进行了概述，目的是为广泛的曲线聚类从业者群体提供有关基本概念的有用建议和参考。通过提出四个主要的相似性特征，我们引入了一种新的曲线聚类分类法。我们回顾了一些关于曲线聚类的相似性特征及其应用。最后，我们就相似性特征对该领域的整体挑战进行了深入的讨论，突出了开放的研究问题并讨论了进一步发展的指南。