DSLib is an open-source implementation of the Dominant Set (DS) clustering algorithm written entirely in Matlab. The DS method is a graph-based clustering technique rooted in the evolutionary game theory that starts gaining lots of interest in the computer science community. Thanks to its duality with game theory and its strict relation to the notion of maximal clique, has been explored in several directions not only related to clustering problems. Applications in graph matching, segmentation, classification and medical imaging are common in literature. This package provides an implementation of the original DS clustering algorithm since no code has been officially released yet, together with a still growing collection of methods and variants related to it. Our library is integrable into a Matlab pipeline without dependencies, it is simple to use and easily extendable for upcoming works. The latest source code, the documentation and some examples can be downloaded from https://xwasco.github.io/DominantSetLibrary.

中文翻译：

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DSLib：一个用于主导集聚类方法的开源库

DSLib 是完全用 Matlab 编写的显性集 (DS) 聚类算法的开源实现。DS 方法是一种基于图的聚类技术，它植根于演化博弈论，开始引起计算机科学界的广泛兴趣。由于它与博弈论的二元性以及它与极大团概念的严格关系，已经在多个方向上进行了探索，不仅与聚类问题有关。图匹配、分割、分类和医学成像中的应用在文献中很常见。这个包提供了原始 DS 聚类算法的实现，因为还没有正式发布代码，以及与它相关的方法和变体的不断增加的集合。我们的库无需依赖即可集成到 Matlab 管道中，它易于使用且易于扩展以用于即将进行的工作。最新的源代码、文档和一些示例可以从 https://xwasco.github.io/DominantSetLibrary 下载。