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Clusterwise linear least absolute deviations regression

Algorithmus. Klassenweise Regression bei der Methode der kleinsten absoluten Abweichungen

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  • 8 Citations

Abstract

A FORTRAN subroutine implementation for this purpose is given.

Zusammenfassung

Die Implementation einer FORTRAN-Subroutine für diesen Zweck wird angegeben.

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References

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    Armstrong, R. D., Frome, E. L., Kung, D. S.: A revised simplex algorithm for the absolute deviation curve fitting problem. Commun. Statist.-Simula. Computa.B8, 175–190 (1979).

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    Peters, U., Willms, C.: Up- and down-dating procedures for linearL 1 regression. OR Spektrum5, 229–239 (1983).

  3. [3]

    Späth, H.: Algorithm 39: Clusterwise linear regression. Computing22, 367–373 (1979).

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    Späth, H.: Correction to algorithm 39: Clusterwise linear regression. Computing26, 275 (1981).

  5. [5]

    Späth, H.: Algorithm 48: A fast algorithm for clusterwise linear regression. Computing29, 175–181 (1982).

  6. [6]

    Späth, H.: Cluster dissection and analysis: Theory, FORTRAN programs, examples, Chichester: Horwood 1985.

  7. [7]

    Späth, H.: Clusterwise linear least squares versus least absolute deviations regression: a numerical comparison for a case study. In: Classification as a Tool of Research, Proceedings of the 9th Annual Meeting of the German Classification Society (Gaul, W., Schader, M., eds.). Amsterdam: North Holland 1986.

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Späth, H. Clusterwise linear least absolute deviations regression. Computing 37, 371–377 (1986). https://doi.org/10.1007/BF02251095

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AMS Subject Classifications

  • 62J05
  • 65F20
  • 62H30

Key words

  • L 1 regression
  • clusterwise regression