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MultiDendrograms: Variable-Group Agglomerative Hierarchical Clusterings

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  • Sergio Gomez
  • Justo Montiel
  • David Torres
  • Alberto Fernandez
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    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.

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    File URL: http://arxiv.org/pdf/1201.1623
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    Bibliographic Info

    Paper provided by arXiv.org in its series Papers with number 1201.1623.

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    Date of creation: Jan 2012
    Date of revision: Dec 2012
    Handle: RePEc:arx:papers:1201.1623

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    Web page: http://arxiv.org/

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