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Ibero-American Conference on Artificial Intelligence

IBERAMIA 2008: Advances in Artificial Intelligence – IBERAMIA 2008 pp 143–152Cite as

Data Reduction Method for Categorical Data Clustering

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 5290)

Abstract

Categorical data clustering constitutes an important part of data mining; its relevance has recently drawn attention from several researchers. As a step in data mining, however, clustering encounters the problem of large amount of data to be processed. This article offers a solution for categorical clustering algorithms when working with high volumes of data by means of a method that summarizes the database. This is done using a structure called CM-tree. In order to test our method, the K-Modes and Click clustering algorithms were used with several databases. Experiments demonstrate that the proposed summarization method improves execution time, without losing clustering quality.

Keywords

  • Categorical Attributes
  • K-modes Clustering Algorithm
  • Reduced database

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Author information

Authors and Affiliations

  1. Lab. Reconocimiento de Patrones, Instituto Tecnológico de Toluca, Av. Tecnológico s/n, 52140, Metepec, (México)

    Eréndira Rendón, Rene A. Garcia, Itzel Abundez, Citlalih Gutierrez & Eduardo Gasca

  2. Dept. Llenguatges i Sistemes Informàtics, Universitat Jaume I, Av. Sos Baynat s/n, E-12071, Castelló de la Plana, (Spain)

    J. Salvador Sánchez

Authors
  1. Eréndira Rendón
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  2. J. Salvador Sánchez
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  3. Rene A. Garcia
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  4. Itzel Abundez
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  5. Citlalih Gutierrez
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  6. Eduardo Gasca
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Editor information

Editors and Affiliations

  1. ICREA & Universitat Pompeu Fabra, Paseo de Circumvalacion 8, 08003, Barcelona, Spain

    Hector Geffner

  2. IST-UTL and INESC-ID, Av. Prof. Cavaco Silva - Taguspark, 2744-016, Porto Salvo, Portugal

    Rui Prada

  3. ADETTI/ISCTE and ISCTE, Lisbon University Institute, Av. das Forças Armadas, 1649-026, Lisbon, Portugal

    Isabel Machado Alexandre

  4. ADETTI/ISCTE and ISCTE, Lisbon University Institute, , Av. das Forças Armadas, 1649-026, Lisbon, Portugal

    Nuno David

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© 2008 Springer-Verlag Berlin Heidelberg

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Cite this paper

Rendón, E., Sánchez, J.S., Garcia, R.A., Abundez, I., Gutierrez, C., Gasca, E. (2008). Data Reduction Method for Categorical Data Clustering. In: Geffner, H., Prada, R., Machado Alexandre, I., David, N. (eds) Advances in Artificial Intelligence – IBERAMIA 2008. IBERAMIA 2008. Lecture Notes in Computer Science(), vol 5290. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88309-8_15

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  • DOI: https://doi.org/10.1007/978-3-540-88309-8_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88308-1

  • Online ISBN: 978-3-540-88309-8

  • eBook Packages: Computer ScienceComputer Science (R0)