Summary
We consider a class of optimization problems of hierarchical-tree clustering and prove that these problems are NP-hard. The sequence of polynomial reductions and/or transformations used in our proof is based on relatively laborious graph-theoretical constructions and starts in the NP-complete problem of 3-dimensional matching. Using our main result we establish the NP-completeness of a problem of the best approximation of a symmetric relation on a finite set by an equivalence relation, thus answering in the negative a question proposed implicitly by C.T. Zahn.
Similar content being viewed by others
References
Anderberg, M.: Cluster Analysis for Applications. New York: Academic Press 1973
Brucker, P.: On the Complexity of Clustering Problems. In: Optimization and Operations Research (R. Henn, B. Korte, W. Oletti eds.), pp. 45–54. Berlin, Heidelberg, New York: Springer 1977
Diday, E, Bochi, S., Brossier, G., Celeux, G., Charles, C., Chifflet, R., Darcos, J., Diday, E., Diebolt, J., Fevre, P., Govaert, G., Hanani, C., Jacquet, D., Lechevallier, Y., Lemaire, J., Lemoine, Y., Molliere, J.L., Morisset, G., Ok-Sakun, Y., Rousseau, P., Sankoff, D., Schroeder, A., Sidi, J., Taleng, F.: Optimisation en classification automatique. INRIA, Rocquencourt, 1979
Garey, M.R., Johnson, D.S.: Computers and Intractability: A Guide to the Theory of NP-Completeness. San Francisco: Freeman 1979
Gonzales, T.: On the Computational Complexity of Clustering and Related Problems. In: System Modelling and Optimization (R. Drenick, F. Kozin eds.), pp. 174–182. Berlin, Heidelberg, New York: Springer 1982
Hartigan, J.A.: Clustering Algorithms. New York: John Wiley 1975
Hartigan, J.A.: Representation of Similarity Matrices by Trees. JASA 62, 1140–1158 (1967)
Jambu, M., Lebeaux, M.-O.: Cluster Analysis and Data Analysis. Amsterdam: North-Holland 1983
Jardine, N., Sibson, R.: Mathematical Taxonomy. New York: John Wiley 1971
Johnson, S.C.: Hierarchical Clustering Schemes. Psychometrika 32, 241–254 (1967)
Karp, R.M.: Reducibility among Combinatorial Problems. In: Complexity of Computer Computations (E.W. Miller, J.W. Thatcher, eds.), pp. 85–104. New York: Plenum Press 1972
Křivánek, M., Morávek, J.: On NP-Hardness in Hierarchical Clustering. In: Proceedings COMPSTAT '84, pp. 189–194. Vienna: Physica 1984
Lerman, I.C.: Classification et analyse ordinale des données. Paris: Dunod 1981
Lovász, L.: Combinatorial Problems and Exercises. Budapest: Akademiai Kiadó 1979
Späth, H.: Cluster Analysis Algorithms for Data Reduction and Classification of Objects. London: Ellis Horwood 1980
Zahn, C.T.: Approximating Symmetric Relations by Equivalence Relations. SIAM J. Appl. Math. 12, 840–847 (1964)
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Křivánek, M., Morávek, J. NP-hard problems in hierarchical-tree clustering. Acta Informatica 23, 311–323 (1986). https://doi.org/10.1007/BF00289116
Received:
Issue Date:
DOI: https://doi.org/10.1007/BF00289116