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Min and max hierarchical clustering using asymmetric similarity measures. (English) Zbl 0251.92014


MSC:

92D25 Population dynamics (general)
62H99 Multivariate analysis
90C99 Mathematical programming
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References:

[1] Harary, F.Graph theory. Reading, Mass.: Addison-Wesley, 1969.
[2] Harary, F., Norman, R. Z., and Cartwright, D.Structural models: An introduction to the theory of directed graphs. New York: Wiley, 1965. · Zbl 0139.41503
[3] Hubert, L. Some extensions of Johnson’s hierarchical clustering algorithms.Psychometrika, 1972,37, 261–274. · Zbl 0239.92014
[4] Hubert, L. Approximate evaluation techniques for the max hierarchical clustering procedure. Paper presented at the American Educational Research Association Convention, New Orleans, February, 1973.
[5] Jardine, N. and Sibson, R.Numerical taxonomy. New York: Wiley, 1971.
[6] Johnson, S. C. Hierarchical clustering schemes.Psychometrika, 1967,32, 241–254. · Zbl 1367.62191
[7] Miller, G. A. and Nicely, P. E. An analysis of perceptual confusions among English consonants.Journal of the Acoustical Society of America, 1955,27, 338–352.
[8] Wirth, M., Estabrook, G. F. and Rogers, D. J. A graph theory model for systematic biology, with an example for the Oncidiinai (Orchidaceae).Systematic Zoology, 1966,15, 59–69.
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