标题： 最近邻平衡聚类 显示英文标题

标题： Nearest Neighbour Equilibrium Clustering

摘要： 一种新颖且直观的基于最近邻的聚类算法被引入，其中聚类是根据平衡其大小和紧密性的平衡条件来定义的。 平衡条件的表述允许量化每个点对聚类的对齐强度，这些聚类对齐强度自然地导致一个模型选择准则，使所提出的方法完全自动化。 该算法易于实现且计算高效，并与文献中的相关基准相比，产生了质量极高的聚类解决方案。 用于实现该方法的R代码可从https://github.com/DavidHofmeyr/NNEC获取。 显示英文摘要

摘要： A novel and intuitive nearest neighbours based clustering algorithm is introduced, in which a cluster is defined in terms of an equilibrium condition which balances its size and cohesiveness. The formulation of the equilibrium condition allows for a quantification of the strength of alignment of each point to a cluster, with these cluster alignment strengths leading naturally to a model selection criterion which renders the proposed approach fully automatable. The algorithm is simple to implement and computationally efficient, and produces clustering solutions of extremely high quality in comparison with relevant benchmarks from the literature. R code to implement the approach is available from https://github.com/DavidHofmeyr/NNEC.