Skip to main content
Log in

Minimum sum of diameters clustering

  • Authors Of Articles
  • Published:
Journal of Classification Aims and scope Submit manuscript

Abstract

The problem of determining a partition of a given set ofN entities intoM clusters such that the sum of the diameters of these clusters is minimum has been studied by Brucker (1978). He proved that it is NP-complete forM≥3 and mentioned that its complexity was unknown forM=2. We provide anO(N 3 logN) algorithm for this latter case. Moreover, we show that determining a partition into two clusters which minimizes any given function of the diameters can be done inO(N 5) time.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • ASPVALL, B., PLASS, M. F., and TARJAN, R. E. (1979), “A Linear-time Algorithm for Testing the Truth of Certain Quantified Boolean Formulas,”Information Processing Letters, 8, 121–123.

    Google Scholar 

  • BRUCKER, P. (1978), “On the Complexity of Clustering Problems,” inOptimization and Operations Research, Lecture Notes in Economics and Mathematical Systems, 157, eds. M. Beckmann and H. P. Kunzi, Heidelberg: Springer-Verlag, 45–54.

    Google Scholar 

  • CORMACK, R. M. (1971), “A Review of Classification,”Journal of the Royal Statistical Society, A(134), 321–367.

    Google Scholar 

  • DELATTRE, M., and HANSEN, P. (1980), “Bicriterion Cluster Analysis,”IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-2(4, 277–291.

    Google Scholar 

  • GORDON, A. D. (1981),Classification: Methods for the Exploratory Analysis of Multivariate Data, New York: Chapman and Hall.

    Google Scholar 

  • HANSEN, P., and DELATTRE, M. (1978), “Complete-link Cluster Analysis by Graph Coloring,”Journal of the American Statistical Association, 73, 397–403.

    Google Scholar 

  • HANSEN, P., JAUMARD, B., and MINOUX, M. (1986), “A Linear Expected-time Algorithm for Deriving All Logical Conclusions Implied by a Set of Boolean Inequalities,”Mathematical Programming, 34, 223–231.

    Google Scholar 

  • HARTIGAN, J. A. (1975),Clustering Algorithms, New York: John Wiley & Sons.

    Google Scholar 

  • JOHNSON, S.C. (1967), “Hierarchical Clustering Schemes,”Psychometrika, 32, 241–254.

    Google Scholar 

  • KRUSKAL, J. B. (1956), “On the Shortest Subtree of a Graph and the Travelling Salesman Problem,”Proceedings of the American Mathematical Society, 71, 48–50.

    Google Scholar 

  • RAO, M. R. (1971), “Cluster Analysis and Mathematical Programming,“Journal of the American Statistical Association, 66, 622–626.

    Google Scholar 

  • WELCH, J.W. (1983), “Algorithmic Complexity: Three NP-hard Problems in Computational Statistics,”Journal of Statistical Computation and Simulation, 15, 17–25.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Acknowledgments: This research was supported by the Air Force Office of Scientific Research Grant AFOSR 0271 to Rutgers University. We are grateful to Yves Crama for several insightful remarks and to an anonymous referee for detailed comments.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hansen, P., Jaumard, B. Minimum sum of diameters clustering. Journal of Classification 4, 215–226 (1987). https://doi.org/10.1007/BF01896987

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01896987

Keywords

Navigation