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Fuzzy Multiset Space and c-Means Clustering Using Kernels with Application to Information Retrieval

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Fuzzy Sets and Systems — IFSA 2003 (IFSA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2715))

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Abstract

A space of fuzzy multisets is considered and applied to clustering of documents/terms for information retrieval. Fuzzy c-means clustering algorithms with kernel functions in support vector machines are studied. A numerical example is given.

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References

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Author information

Authors and Affiliations

  1. Institute of Engineering Mechanics and Systems, University of Tsukuba, Ibaraki, 305-8573, Japan

    Sadaaki Miyamoto

  2. Graduate School of Systems and Information Engineering, University of Tsukuba, Ibaraki, 305-8573, Japan

    Kiyotaka Mizutani

Authors
  1. Sadaaki Miyamoto
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  2. Kiyotaka Mizutani
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Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Boğaziçi University, 34342, Bebek, Istanbul, Turkey

    Taner Bilgiç

  2. Dept. of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure links 653, 9000, Gent, Belgium

    Bernard De Baets

  3. Department of Electrical and Electronics Engineering, Boğaziçi University, 34342, Bebek, Istanbul, Turkey

    Okyay Kaynak

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© 2003 Springer-Verlag Berlin Heidelberg

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Miyamoto, S., Mizutani, K. (2003). Fuzzy Multiset Space and c-Means Clustering Using Kernels with Application to Information Retrieval. In: Bilgiç, T., De Baets, B., Kaynak, O. (eds) Fuzzy Sets and Systems — IFSA 2003. IFSA 2003. Lecture Notes in Computer Science, vol 2715. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44967-1_46

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  • DOI: https://doi.org/10.1007/3-540-44967-1_46

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40383-8

  • Online ISBN: 978-3-540-44967-6

  • eBook Packages: Springer Book Archive

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