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Interpretation of Multivariate Data via Visualization

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Soft Computing as Transdisciplinary Science and Technology

Part of the book series: Advances in Soft Computing ((AINSC,volume 29))

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3 Conclusion

Visualization of multivariate data is one of the key technologies in the fields of data-mining, kansei engineering, chance discovery, etc. This talk summarized our recent study on visualization methods that could relate data to words.

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References

  1. E.J. Wegman and D.B. Carr, “Statistical graphics and visualization,” in Handbook of Statistics 9, Computational Statistics C.R. Tao, ed. North Holland, New York, pp.857–958, 1993

    Google Scholar 

  2. F.W. Young, R.A. Faldowski, and M.M. McFarlane, “Multivariate statistical visualization,” in Handbook of Statistics 9, Computational Statistics C.R. Tao, ed. North Holland, New York, pp.959–998, 1993

    Google Scholar 

  3. A.I. McLeod and S.P. Provost, “Multivariate Data Visualization,” in Encyclopedia of Environmetrics, A. El-Shaarawi and W. Piegorsch ed., New York: Wiley, pp.1333–1344, 2001

    Google Scholar 

  4. K. Yamamoto, T. Yoshikawa, T. Furuhashi, “A Proposal of Fuzzy Modeling on Fusion Axes Considering the Dat a Structure”, FUZZ-IEEE 2003, pp348–353, 2003

    Google Scholar 

  5. K. Yamamoto, T. Furuhashi, T. Yoshikawa, “A Proposal of Visualization Method for Obtaining Interpretable Fuzzy Rules”, FUZZ-IEEE 2004, 2004

    Google Scholar 

  6. K. Yamamoto, T. Furuhashi, T. Yoshikawa, “A Proposal of Visualization Method using Fuzzy Clustering and Fuzzy Multiple Discriminant Analysis”, International Workshop on Fuzzy Systems and Innovative Commutation (FIC 2004), pp. 356–361, 2004

    Google Scholar 

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Author information

Authors and Affiliations

  1. Dept. of Computational Science and Engineering, Nagoya University, Nagoya

    Takeshi Furuhashi & Kosuke Yamamoto

Authors
  1. Takeshi Furuhashi
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  2. Kosuke Yamamoto
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science, Oklahoma State University, North Greenwood Avenue 700, 74106, Tulsa, USA

    Ajith Abraham

  2. Dept. of Computer Science and Systems Engineering, Muroran Institute of Technology, Mizumoto-cho 27-1, 050-8585, Muroran, Hokkaido, Japan

    Yasuhiko Dote

  3. Dept. of Computational Science and Engineering, Nagoya University, Furo-cho, Chikusa-ku, 464-8601, Nagoya, Aichi-ken, Japan

    Takeshi Furuhashi

  4. Institut für Sicherheits-/Prüftechnik, Fraunhofer IPK Berlin, Pascalstr. 8-9, 10587, Berlin, Germany

    Mario Köppen

  5. Division of Complex Systems Technology Graduate School of Engineering, University of Hokkaido, N-13, W-8 060 KITA-KU, Sapporo, Japan

    Azuma Ohuchi

  6. PRESTO Japan Science & Technology Corp. GSSM, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, 12-0012, Tokyo, Japan

    Yukio Ohsawa

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© 2005 Springer-Verlag Berlin Heidelberg

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Furuhashi, T., Yamamoto, K. (2005). Interpretation of Multivariate Data via Visualization. In: Abraham, A., Dote, Y., Furuhashi, T., Köppen, M., Ohuchi, A., Ohsawa, Y. (eds) Soft Computing as Transdisciplinary Science and Technology. Advances in Soft Computing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32391-0_8

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  • DOI: https://doi.org/10.1007/3-540-32391-0_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25055-5

  • Online ISBN: 978-3-540-32391-4

  • eBook Packages: EngineeringEngineering (R0)

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