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Fuzzy Post-clustering Algorithm for Web Search Engine

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Information Retrieval Technology (AIRS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3689))

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Abstract

We propose a new clustering algorithm satisfying requirements for the post-clustering algorithms as many as possible. The proposed “Fuzzy Concept ART” is the form of combining the concept vector having some advantages in document clustering with Fuzzy ART known as real-time clustering algorithms.

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References

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© 2005 Springer-Verlag Berlin Heidelberg

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Im, Y., Song, J., Park, D. (2005). Fuzzy Post-clustering Algorithm for Web Search Engine. In: Lee, G.G., Yamada, A., Meng, H., Myaeng, S.H. (eds) Information Retrieval Technology. AIRS 2005. Lecture Notes in Computer Science, vol 3689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562382_72

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  • DOI: https://doi.org/10.1007/11562382_72

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29186-2

  • Online ISBN: 978-3-540-32001-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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