标题： Leinster-Cobbold多样性指数作为亚聚类的标准 显示英文标题

标题： The Leinster-Cobbold diversity index as a criterion for sub-clustering

摘要： 提出了一种对大规模样本进行子聚类的自动程序。 在每次迭代中，对最多样化的簇进行子聚类，并将新的分类全局多样性与前一次进行比较。 如果未发现改进，则过程停止。 我们程序的关键在于使用一种称为莱因斯特-科伯尔德指数的多样性定量测量方法，该方法考虑了簇之间的相似性。 虽然该程序已在大量星系光谱样本上成功应用，但本文通过两个例子展示了它的效率。 显示英文摘要

摘要： An automatic procedure to perform sub-clustering on large samples is presented. At each iteration, the most diverse cluster is sub-clustered, and the global diversity of the new classification is compared to the previous one. The process stops if no improvement is found. The key to our procedure is the use of a quantitative measure of diversity, called the Leinster-Cobbold index, that takes into account the similarity between clusters. While this procedure has been successfully applied on a large sample of spectra of galaxies, we illustrate its efficiency with two examples in this paper.