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Construction of Sequential Classifier Based on MacArthur’s Overlapping Niches Model

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Image Processing and Communications Challenges 5

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 233))

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Summary

This paper presents the problem of building the sequential model of the classification task. In our approach the structure of the model is built in the learning phase of classification. In this paper a split criterion based on the MacArthur’s overlapping niches model is proposed. The MacArthur’s overlapping niches distribution is created for each row of the confusion matrix. The split criterion is associated with the analysis of the received distributions. The obtained results were verified on ten data sets. Nine data sets come from UCI repository and one is a real-life data set.

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Author information

Authors and Affiliations

  1. Department of Systems and Computer Networks, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Robert Burduk & Paweł Trajdos

Authors
  1. Robert Burduk
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  2. Paweł Trajdos
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Corresponding author

Correspondence to Robert Burduk .

Editor information

Editors and Affiliations

  1. Life Sciences, Institute of Telecommunications, University of Technology, ul.S.Kaliskiego 7, Bydgoszcz, 85791, Poland

    Ryszard S. Choras

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Burduk, R., Trajdos, P. (2014). Construction of Sequential Classifier Based on MacArthur’s Overlapping Niches Model. In: S. Choras, R. (eds) Image Processing and Communications Challenges 5. Advances in Intelligent Systems and Computing, vol 233. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-01622-1_30

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  • DOI: https://doi.org/10.1007/978-3-319-01622-1_30

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-01621-4

  • Online ISBN: 978-3-319-01622-1

  • eBook Packages: EngineeringEngineering (R0)

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