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Hierarchical clustering of text documents

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Abstract

We consider the possibility to use compression algorithms to compute similarity distances in order to solve the clustering problem. We propose an actual hierarchical clustering machine that constructs a binary tree of object dependencies similar to a taxonomy.

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Authors and Affiliations

  1. Alexeev Nizhni Novgorod State Technical University, Nizhni Novgorod, Russia

    L. S. Lomakina, V. B. Rodionov & A. S. Surkova

Authors
  1. L. S. Lomakina
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  2. V. B. Rodionov
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  3. A. S. Surkova
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Corresponding author

Correspondence to L. S. Lomakina.

Additional information

Original Russian Text © L.S. Lomakina, V.B. Rodionov, A.S. Surkova, 2012, published in Sistemy Upravleniya i Informatsionnye Tekhnologii, 2012, No. 3, pp. 39–44.

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Lomakina, L.S., Rodionov, V.B. & Surkova, A.S. Hierarchical clustering of text documents. Autom Remote Control 75, 1309–1315 (2014). https://doi.org/10.1134/S000511791407011X

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  • DOI: https://doi.org/10.1134/S000511791407011X

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