Anderberg, M. R. (1973), Cluster Analysis for Applications, New York: Academic Press.

Calinski, T. and Harabasz, J. (1974), “A Dendrite Method for Cluster Analysis,” Communications in Statistics, 3, 1–27.

Cooper, M. C. and Milligan, G. W. (1988), “The Effect of Error on Determining the Number of Clusters,” in Proceedings of the International Workshop on Data Analysis, Decision Support, and Expert Knowledge Representation in Marketing and Related Areas of Research.

Everitt, B. S. (1980), Cluster Analysis, Second Edition, London: Heineman Educational Books.

Fisher, R. A. (1936), “The Use of Multiple Measurements in Taxonomic Problems,” Annals of Eugenics, 7, 179–188.

Gonin, R. and Money, A. H. (1989), Nonlinear -Norm Estimation, New York: Marcel Dekker.

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

MacQueen, J. B. (1967), “Some Methods for Classification and Analysis of Multivariate Observations,” Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, 1, 281–297.

Mezzich, J. and Solomon, H. (1980), Taxonomy and Behavioral Science, New York: Academic Press.

Milligan, G. W. (1980), “An Examination of the Effect of Six Types of Error Perturbation on Fifteen Clustering Algorithms,” Psychometrika, 45, 325–342.

Milligan, G. W. and Cooper, M. C. (1985), “An Examination of Procedures for Determining the Number of Clusters in a Data Set,” Psychometrika, 50, 159–179.

Puranen, J. (1917), “Fish Catch data set (1917),” Journal of Statistics Education Data Archive, last accessed May 22, 2009.

Sarle, W. S. (1983), Cubic Clustering Criterion, SAS Technical Report A-108, Cary, NC: SAS Institute Inc.

Spath, H. (1980), Cluster Analysis Algorithms, Chichester, England: Ellis Horwood.

Spath, H. (1985), Cluster Dissection and Analysis, Chichester, England: Ellis Horwood.

Tou, J. T. and Gonzalez, R. C. (1974), Pattern Recognition Principles, Reading, MA: Addison-Wesley.