论文标题
集群算法简介
An Algorithmic Introduction to Clustering
论文作者
论文摘要
本文试图通过识别五种不同的聚类算法之间的关系来展示聚类的更统一的观点。一些结果并不是什么新鲜事物，但是它们以更清洁，更简单，更简洁的方式呈现。据我所知，将DBSCan解释为一种攀爬程序，它引入了DBSCAN和平均变化之间的理论联系，这是一个新的结果。
This paper tries to present a more unified view of clustering, by identifying the relationships between five different clustering algorithms. Some of the results are not new, but they are presented in a cleaner, simpler and more concise way. To the best of my knowledge, the interpretation of DBSCAN as a climbing procedure, which introduces a theoretical connection between DBSCAN and Mean shift, is a novel result.
