This paper analyzes the versatility of 10 dif ferent popular programs which contain hierarchical methods of cluster analysis. The intent of the paper is to provide users with information which can be of assistance when choosing a cluster analysis pro gram. The four dimensions which are emphasized when discussing these programs are (1) agglomera tion vs. division, (2) linkage form, (3) similarity measure, and (4) hierarchical solution vs. single- rank.
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References
1.
Aldenderfer, M.S.A consumer report on cluster analysis software: (2) Hierarchical methods (Report No. 2, N.S.F. Grant 74-20007). July 1977.
2.
Anderberg, M.R.Cluster analysis for applications. New York: Academic Press, 1973.
3.
Bailey, K.D.Cluster analysis. In D. Heise (Ed.), Sociological methodology. San Francisco : Jossey-Bass, 1974.
4.
Blashfield, R.K.Questionnaire on cluster analysis software. Classification Society Bulletin, 1976, 3, 25-42. (a)
5.
Blashfield, R.K.Mixture model tests of cluster analysis : Accuracy of four agglomerative hierarchical methods. Psychological Bulletin, 1976, 83, 377-388. (b)
6.
Blashfield, R.K.A consumer report on cluster analysis software: (3) Iterative partitioning methods (Report No. 3, N.S.F. Grant 74-20007). March 1977. (a)
7.
Blashfield, R.K.A consumer report on cluster analysis software: (4) Usability (Report No. 4, N.S.F. Grant 74-20007). March 1977 . (b)
8.
Blashfield, R.K., & Aldenderfer, M.S.A consumer report on cluster analysis software: (1) Clustering methods and their literature (Report No. 1, N.S.F. Grant 74-20007). February 1977.
Gower, J.C.Measurements of taxonomic distance and their analysis. In J.S. Weiner & J. Huzinga (Eds.), The assessment of population affinitesOxford : Clarendon Press, 1972.
11.
Hartigan, J.A.Representation of similarity matrices by trees. Journal of the American Statistical Association, 1967, 62, 1140-1158.
12.
Hartigan, J.A.Clustering algorithms. New York: Wiley, 1975.
13.
Hubert, L.Some extensions of Johnson's hierarchical and nonhierarchical classifications . Psychometrika, 1972, 37, 261-274.
14.
Jardine, N., & Sibson, R.Construction of hierarchical and nonhierarchical classifications. Computer Journal, 1968, 13, 116-117. (a)
15.
Jardine, N., & Sibson, R.A model for taxonomy. Mathematical Biosciences, 1968, 465-482. (b)
16.
Jardine, N., & Sibson, R.Mathematical taxonomy. New York: Wiley, 1971.
17.
Sneath, P.H.A The application of computers to taxonomy. Journal of General Microbiology, 1957, 17, 201-226.
18.
Sneath, P.H.A.Evaluation of clustering methods. In A.J. Cole (Ed.), Numerical taxonomy. London : Academic Press, 1969.
