"mdendro" is an R package that provides a comprehensive collection of linkage methods for agglomerative hierarchical clustering on a matrix of proximity data (distances or similarities), returning a multifurcated dendrogram or multidendrogram. Multidendrograms can group more than two clusters at the same time, solving the nonuniqueness problem that arises when there are ties in the data. This problem causes that different binary dendrograms are possible depending both on the order of the input data and on the criterion used to break ties. Weighted and unweighted versions of the most common linkage methods are included in the package, which also implements two parametric linkage methods. In addition, package "mdendro" provides five descriptive measures to analyze the resulting dendrograms: cophenetic correlation coefficient, space distortion ratio, agglomerative coefficient, chaining coefficient and tree balance.

翻译：“mdendro”是一个R语言工具包，提供了面向邻近数据矩阵（距离或相似度）进行凝聚层次聚类的全面链接方法集合，可生成多叉树状图或多聚树图。多聚树图能够同时合并两个以上聚类，解决了数据存在并列值时产生的非唯一性问题——该问题会导致根据输入数据顺序及破并列准则的不同而生成不同的二叉树状图。工具包包含最常用链接方法的加权与未加权版本，同时实现两种参数化链接方法。此外，“mdendro”工具包提供五种描述性指标用于分析生成的树状图：共表相关系数、空间畸变比、凝聚系数、链式系数与树结构平衡度。