Milligan, Glenn W. A Monte Carlo study of thirty internal criterion measures for cluster analysis. (English) Zbl 0472.62070 Psychometrika 46, 187-199 (1981). Page: −5 −4 −3 −2 −1 ±0 +1 +2 +3 +4 +5 Show Scanned Page Cited in 24 Documents MSC: 62H30 Classification and discrimination; cluster analysis (statistical aspects) 65C05 Monte Carlo methods Keywords:classification; numerical taxonomy; permutation tests Software:LLRANDOM × Cite Format Result Cite Review PDF Full Text: DOI References: [1] Downton, M., & Brennan, T. Comparing classifications: An evaluation of several coefficients of partition agreement. Paper presented at the meeting of the Classification Society, Boulder, Colorado, June 1980. [2] Dudewicz, E. J.IRCCRAND-The Ohio State University random number generator package (Tech. Rep. No. 104). Columbus, Ohio: The Ohio State University, Department of Statistics, 1974. [3] Edelbrock, C., & McLaughlin, B. Intraclass correlations as metrics for hierarchical cluster analysis: Parametric comparisons using the mixture model. Paper presented at the meeting of the Classification Society, Gainesville, Florida, April 1979. [4] Fowlkes, E. B., & Mallows, C. L.A new measure of similarity between two hierarchical clusterings and its use in studying hierarchical clustering methods. Paper presented at the meeting of the Classification Society, Boulder, Colorado, June 1980. [5] Learmonth, G. P., & Lewis, P. A. W.Naval Postgraduate School random number generator package LLRANDOM (Tech. Rep. NPS55LW73061A). Monterey, Calif.: Naval Postgraduate School, Department of Operations Research and Administrative Sciences, 1973. This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.