论文标题
DSLIB：主要集合聚类方法的开源库
DSLib: An open source library for the dominant set clustering method
论文作者
论文摘要
DSLIB是完全用MATLAB编写的主要集合集（DS）聚类算法的开源实现。 DS方法是一种基于图的聚类技术，它植根于进化游戏理论，开始对计算机科学界引起很多兴趣。由于它与游戏理论的二元性及其与最大集团的概念的严格关系，不仅在多个方向上探讨了与聚类问题有关的。在文献中，在图形匹配，分割，分类和医学成像中的应用很常见。该软件包提供了原始DS聚类算法的实现，因为尚未正式发布任何代码，以及与之相关的方法和变体的收集仍在越来越多。我们的库可集成到没有依赖关系的MATLAB管道中，它易于使用，并且可以轻松扩展到即将进行的作品。最新的源代码，文档和一些示例可以从https://xwasco.github.io/dominantsetlibrary下载。
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.
