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MultiDendrograms: Variable-Group Agglomerative Hierarchical Clusterings

Author

Listed:
  • Sergio Gomez
  • Justo Montiel
  • David Torres
  • Alberto Fernandez

Abstract

MultiDendrograms is a Java-written application that computes agglomerative hierarchical clusterings of data. Starting from a distances (or weights) matrix, MultiDendrograms is able to calculate its dendrograms using the most common agglomerative hierarchical clustering methods. The application implements a variable-group algorithm that solves the non-uniqueness problem found in the standard pair-group algorithm. This problem arises when two or more minimum distances between different clusters are equal during the agglomerative process, because then different output clusterings are possible depending on the criterion used to break ties between distances. MultiDendrograms solves this problem implementing a variable-group algorithm that groups more than two clusters at the same time when ties occur.

Suggested Citation

  • Sergio Gomez & Justo Montiel & David Torres & Alberto Fernandez, 2012. "MultiDendrograms: Variable-Group Agglomerative Hierarchical Clusterings," Papers 1201.1623, arXiv.org, revised Dec 2012.
    • Handle: RePEc:arx:papers:1201.1623
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    References listed on IDEAS

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    1. Alberto Fernández & Sergio Gómez, 2008. "Solving Non-Uniqueness in Agglomerative Hierarchical Clustering Using Multidendrograms," Journal of Classification, Springer;The Classification Society, vol. 25(1), pages 43-65, June.
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