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A New Approach to Pattern Recognition

An Erratum to this article was published on 24 March 1972

Abstract

Automatic clustering methods are shown to provide a basis for adaptive pattern recognition when neither the number nor the specifications of classes are known in advance.

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References

  1. Narasimhan, R., Comm. ACM, 9, 166 (1966).

    Article  Google Scholar 

  2. Kirsch, R. A., IEEE Trans. Elect. Comput., 13, 363 (1964).

    Article  Google Scholar 

  3. Clowes, M. B., in Machine Intelligence (edit. by Melzer, B., Michie, D., and Swann, M.), 4, 361 (Edinburgh University Press, 1969).

    Google Scholar 

  4. Jardine, N., and Jardine, C. J., Nature, 216, 301 (1967).

    Article  ADS  Google Scholar 

  5. Jardine, C. J., and Jardine, N., Studia Logica, 27, 213 (1971).

    MathSciNet  Google Scholar 

  6. Methodologies of Pattern Recognition (edit. by Watanabe, S.) (Academic Press, New York and London, 1969).

    Chapter  Google Scholar 

  7. Kovalevsky, V. A., in Advances in Information Systems Science, 3, 1 (Plenum Press, New York, 1970).

    Book  Google Scholar 

  8. Duda, R. O., in Adaptive, Learning, and Pattern Recognition Systems (edit. by Mendel, J. M., and Fu, K. S.), 3 (Academic Press, New York and London, 1970).

    Google Scholar 

  9. Sebestyen, G. S., Decision-making Processes in Pattern Recognition (Macmillan, New York, 1962).

    Google Scholar 

  10. Ball, G. H., Proc. Fall Jt Comput. Conf., 27, 533 (1966).

    Google Scholar 

  11. Sokal, R. R., and Sneath, P. H. A., Principles of Numerical Taxonomy (Freeman, San Francisco and London, 1963).

    MATH  Google Scholar 

  12. Jardine, N., and Sibson, R., Mathematical Taxonomy (Wiley, London and New York, 1971).

    MATH  Google Scholar 

  13. Rosenfeld, A., Picture Processing by Computer (Academic Press, New York and London, 1969).

    Book  Google Scholar 

  14. Jardine, N., and Sibson, R., Math. Biosci., 2, 465 (1968).

    Article  Google Scholar 

  15. Cover, T. M., and Hart, P. E., IEEE Trans. Inf. Theory, 13, 21 (1967).

    Article  Google Scholar 

  16. Marr, D., Proc. Roy. Soc. Lond., B, 176, 161 (1970).

    Article  ADS  CAS  Google Scholar 

  17. Van Rijsbergen, C. J., Comput. J. (in the press).

  18. Cormack, R. M., J. Roy. Stat. Soc., B (in the press).

  19. Jardine, N., and van Rijsbergen, C. J., Inf. Stor. Retr., 7, 217 (1971).

    Article  Google Scholar 

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JARDINE, N. A New Approach to Pattern Recognition. Nature 234, 526–528 (1971). https://doi.org/10.1038/234526a0

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  • DOI: https://doi.org/10.1038/234526a0

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