Finding patterns in data

References

Anderberg, M.R. (1973). Cluster Analysis for Applications. Academic press.

Austin, M.P. and Belbin, L. (1982). A new approach to the species classification problem in floristic analysis. Australian Journal of Ecology., 7, 75-89 (two-step)

Belbin, L. (1980). Twostep: A Program Incorporating Asymmetric Comparisons that uses Two steps to Produce a Dissimilarity Matrix. CSIRO Division of Land Use Research. Technical Memorandum 80/9, June 1980. Canberra.

Belbin, L. (1984). FUSE, a FORTRAN 5 program for agglomerative fusion on micro-computers. Computers and Geosciences 10(4), 361-384

Belbin, L. (1987). The use of non-hierarchical allocation methods for clustering large sets of data. Australian Computer Journal,19,1,32-41.

Belbin, L. (1991). Semi-strong hybrid scaling, a new ordination algorithm. Journal of Vegetation Science, 2: 491-496.

Belbin, L. (1995). A multivariate approach to the selection of biological reserves. Biodiversity and Conservation 4, 951-963.

Belbin, L., Faith, D.P. and Milligan, G.W. (1992). A comparison of two approaches to ß-flexible clustering. Multivariate Behavioural Research. 27, 417-433.

Belbin, L., Faith, D.P. and Minchin, P.R. (1984). Some algorithms contained in the Numerical Taxonomy Package NTP. CSIRO Division of Water and Land Resources Technical Memorandum 84/23.

Belbin, L., Marshall, C. & Faith, D.P.(1983). Representing relationships by automatic assignment of colour. The Australian Computing Journal 15, 160-163.

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Clark, K.R. & Green, R.H. (1988). Statistical design and analysis for a 'biological effects' study. Marine Ecology Progress Series, 46: 213-226.

Clifford, H.C and Stephenson, W.C (1975). An Introduction to Numerical Classification. (Wiley).

Coxon A.P.M. (1982). The user's guide to multidimensional scaling. Heineman, London, 271p. (good text)

Czekanowski J (1913): Zarys method statystycznyck. Warsaw.

Everitt, B. (1980). Cluster Analysis. 2nd Ed. (Heinemann Educational for Social Science Research Council: London). 136 p.

Faith, D.P., Minchin, P.R. and Belbin, L (1987). Compositional dissimilarity as a robust measure of ecological distance: A theoretical model and computer simulations. Vegetatio 69, 57-68. (hybrid scaling)

Goodall, D.W. (1969) Affinity between and individual and a cluster in numerical taxonomy. Biometrie-Praximetrie 9, 52-55.

Gower, J. C. (1967): A comparison of some methods of cluster analysis. Biometrics 23(4):623-637.

Gower, J.C and Ross, G.J.S. (1969). Minimum spanning trees and single linkage cluster analysis. Applied Statistics 18: 54-64.

Gower, J.C. (1971). A general coefficient of similarity and some its properties. Biometrics 27: 857-71.

Guttman L (1968) A general non-metric technique for finding the smallest coordinate space for a configuration of points. Psychometrika 33, 469-506.

Jaccard, P. (1908). Nouvelles recherches sur la distribution florale. Bull.Doc.Vaud.Sci.Nat, 44: 223-270.

Jardine, N. & Sibson R. (1971) Mathematical Taxonomy. Wiley, London. 286p.

Kruskal J B & Wish M (1978) Multidimensional scaling. Sage, California, 94p. (very readable)

Kruskal J B, Young F W and Seery J B (1973) How to use KYST, a very flexible program to do multidimensional scaling and unfolding. Unpublished, Bell Laboratories. (KYST manual, not fabulous)

Kruskal, J B (1962) Multidimensional scaling by optimising goodness of fit to a non-metric hypothesis. Psychometrika 29(1), 1-27.

Kruskal, J B (1964) Non-metric multidimensional scaling: a numerical method. Psychometrika 29(2), 115-129.

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Lehmann, E.L. (1975). Nonparametrics: statistical methods based on ranks. Holden-Day, Oakland, Cal.

Lingoes J C & Roskam E . (1973) A mathematical and empirical analysis of two multidimensional scaling algorithms. Psychometrika 38(1), 1-81. (technical summary)

Manly, B.F.J. (1991). Randomization and Monte Carlo Methods in Biology. Chapman & Hall, London, 281p.

Mantel, N. (1967). The detection of disease clustering and a generalized regression approach. Cancer Research, 27, 209-220.

Shepard R N (1962) The analysis of proximities: multidimensional scaling with an unknown distance function. Psychometrika 27(2), 125-140. (important paper)

Shifman S S, Reynolds M L & Young F W (1981) Introduction to multidimensional scaling. Theory methods and applications. Academic Press, New York, 413p. (lots of examples)

Sneath, P.H.A. and Sokal, R.R. (1973). Numerical Taxonomy. (W.H. Freeman and Company: San Francisco). 573 p.

Sokal, R.R. & Michener, C.D. (1958) A statistical method for evaluating systematic relationships. Univ.Kansas.Sci.Bull., 38, 1409-1438.

Spencer R (1986) Similarity mapping. Byte, August, pp 85-92. (very simple introduction to multidimensional scaling) .