mdendro: An R Package for Extended Agglomerative Hierarchical Clustering
Dublin Core
Title
mdendro: An R Package for Extended Agglomerative Hierarchical Clustering
Description
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.
Creator
Alberto Fernández, Sergio Gómez
Source
https://www.jstatsoft.org/article/view/v114i02
Publisher
OJS/PKP
Date
12 SEPTEMBER 2025
Contributor
FAJAR BAGUS W
Format
PDF
Language
ENGLISH
Type
TEXT
Files
Collection
Citation
Alberto Fernández, Sergio Gómez, “mdendro: An R Package for Extended Agglomerative Hierarchical Clustering,” Repository Horizon University Indonesia, accessed January 12, 2026, https://repository.horizon.ac.id/items/show/10032.