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Recommended Statistics References for Cluster
Analysis
ResearchConsultation.com
Anderberg, M.R. (1973),
Cluster Analysis for Applications, New York: Academic Press, Inc.
Arnold, S.J. (1979), "A Test
for Clusters," Journal of Marketing Research, 16, 545 -551.
Art, D., Gnanadesikan, R., and
Kettenring, R. (1982), "Data-based Metrics for Cluster Analysis," Utilitas
Mathematica, 21A, 75 -99.
Banfield, J.D. and Raftery,
A.E. (1993), "Model-Based Gaussian and Non-Gaussian Clustering," Biometrics,
49, 803 -821.
Bensmail, H., Celeux, G.,
Raftery, A.E., and Robert, C.P. (1997), "Inference in Model-Based Cluster
Analysis," Statistics and Computing, 7, 1 -10.
Binder, D.A. (1978), "Bayesian
Cluster Analysis," Biometrika, 65, 31 -38.
Binder, D.A. (1981),
"Approximations to Bayesian Clustering Rules," Biometrika, 68, 275 -285.
Blashfield, R.K. and
Aldenderfer, M.S. (1978), "The Literature on Cluster Analysis," Multivariate
Behavioral Research, 13, 271 -295.
Bock, H.H. (1985), "On Some
Significance Tests in Cluster Analysis," Journal of Classification, 2, 77
-108.
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,"
Proceedings of the International Workshop on Data Analysis, Decision Support and
Expert Knowledge Representation in Marketing and Related Areas of Research,
319 -328.
Duda, R.O. and Hart, P.E.
(1973), Pattern Classification and Scene Analysis, New York: John Wiley &
Sons, Inc.
Duran, B.S. and Odell, P.L.
(1974), Cluster Analysis, New York: Springer-Verlag.
Englemann, L. and Hartigan,
J.A. (1969), "Percentage Points of a Test for Clusters," Journal of the
American Statistical Association, 64, 1647 -1648.
Everitt, B.S. (1979),
"Unresolved Problems in Cluster Analysis," Biometrics, 35, 169 -181.
Everitt, B.S. (1980),
Cluster Analysis, Second Edition, London: Heineman Educational Books Ltd.
Everitt, B.S. (1981), "A Monte
Carlo Investigation of the Likelihood Ratio Test for the Number of Components in
a Mixture of Normal Distributions," Multivariate Behavioral Research, 16,
171 -80.
Everitt, B.S. and Hand, D.J.
(1981), Finite Mixture Distributions, New York: Chapman and Hall.
Girman, C.J. (1994), "Cluster
Analysis and Classification Tree Methodology as an Aid to Improve Understanding
of Benign Prostatic Hyperplasia," Ph.D. thesis, Chapel Hill, NC: Department of
Biostatistics, University of North Carolina.
Good, I.J. (1977), "The
Botryology of Botryology," in Classification and Clustering, ed. J. Van
Ryzin, New York: Academic Press, Inc.
Harman, H.H. (1976), Modern
Factor Analysis, Third Edition, Chicago: University of Chicago Press.
Hartigan, J.A. (1975),
Clustering Algorithms, New York: John Wiley & Sons, Inc.
Hartigan, J.A. (1977),
"Distribution Problems in Clustering," in Classification and Clustering,
ed. J. Van Ryzin, New York: Academic Press, Inc.
Hartigan, J.A. (1978),
"Asymptotic Distributions for Clustering Criteria," Annals of Statistics,
6, 117 -131.
Hartigan, J.A. (1981),
"Consistency of Single Linkage for High-Density Clusters," Journal of the
American Statistical Association, 76, 388 -394.
Hartigan, J.A. (1985),
"Statistical Theory in Clustering," Journal of Classification, 2, 63 -76.
Hartigan, J.A. and Hartigan,
P.M. (1985), "The Dip Test of Unimodality," Annals of Statistics, 13, 70
-84.
Hartigan, P.M. (1985),
"Computation of the Dip Statistic to Test for Unimodality," Applied
Statistics, 34, 320 -325.
Hawkins, D.M., Muller, M.W.,
and ten Krooden, J.A. (1982), "Cluster Analysis," in Topics in Applied
Multivariate Analysis, ed. D.M. Hawkins, Cambridge: Cambridge University
Press.
Hubert, L. (1974),
"Approximate Evaluation Techniques for the Single-Link and Complete-Link
Hierarchical Clustering Procedures," Journal of the American Statistical
Association, 69, 698 -704.
Hubert, L.J. and Baker, F.B.
(1977), "An Empirical Comparison of Baseline Models for Goodness-of-Fit in
r-Diameter Hierarchical Clustering," in Classification and Clustering,
ed. J. Van Ryzin, New York: Academic Press, Inc.
Klastorin, T.D. (1983),
"Assessing Cluster Analysis Results," Journal of Marketing Research, 20,
92 -98.
Lee, K.L. (1979),
"Multivariate Tests for Clusters," Journal of the American Statistical
Association, 74, 708 -714.
Ling, R.F (1973), "A
Probability Theory of Cluster Analysis," Journal of the American Statistical
Association, 68, 159 -169.
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.
Marriott, F.H.C. (1971),
"Practical Problems in a Method of Cluster Analysis," Biometrics, 27, 501
-514.
Marriott, F.H.C. (1975),
"Separating Mixtures of Normal Distributions," Biometrics, 31, 767 -769.
Massart, D.L. and Kaufman, L.
(1983), The Interpretation of Analytical Chemical Data by the Use of Cluster
Analysis, New York: John Wiley & Sons, Inc.
McClain, J.O. and Rao, V.R.
(1975), "CLUSTISZ: A Program to Test for the Quality of Clustering of a Set of
Objects," Journal of Marketing Research, 12, 456 -460.
McLachlan, G.J. and Basford,
K.E. (1988), Mixture Models, New York: Marcel Dekker, Inc.
Mezzich, J.E and Solomon, H.
(1980), Taxonomy and Behavioral Science, New York: Academic Press, Inc.
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. (1981), "A
Review of Monte Carlo Tests of Cluster Analysis," Multivariate Behavioral
Research, 16, 379 -407.
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.
Minnotte, M.C. (1992), "A Test
of Mode Existence with Applications to Multimodality," Ph.D. thesis, Rice
University, Department of Statistics.
Mueller, D.W. and Sawitzki, G.
(1991), "Excess Mass Estimates and Tests for Multimodality," JASA 86, 738 -746.
Pollard, D. (1981), "Strong
Consistency of
k-Means
Clustering," Annals of Statistics, 9, 135 -140.
Polonik, W. (1993), "Measuring
Mass Concentrations and Estimating Density Contour Clusters -An Excess Mass
Approach," Technical Report, Beitraege zur Statistik Nr. 7, Universitaet
Heidelberg.
Sarle, W.S. (1982), "Cluster
Analysis by Least Squares," Proceedings of the Seventh Annual SAS Users Group
International Conference, 651 -653.
Sarle, W.S. (1983), Cubic
Clustering Criterion, SAS Technical Report A-108, Cary, NC: SAS Institute
Inc.
Sarle, W.S and Kuo, An-Hsiang
(1993), The MODECLUS Procedure, SAS Technical Report P-256, Cary, NC: SAS
Institute Inc.
Scott, A.J. and Symons, M.J.
(1971), "Clustering Methods Based on Likelihood Ratio Criteria," Biometrics,
27, 387 -397.
Silverman, B.W. (1986),
Density Estimation, New York: Chapman and Hall.
Sneath, P.H.A. and Sokal, R.R.
(1973), Numerical Taxonomy, San Francisco: W.H. Freeman.
Spath, H. (1980), Cluster
Analysis Algorithms, Chichester, England: Ellis Horwood.
Symons, M.J. (1981),
"Clustering Criteria and Multivariate Normal Mixtures," Biometrics, 37,
35 -43.
Thode, H.C. Jr., Mendell,
N.R., and Finch, S.J. (1988), "Simulated Percentage Points for the Null
Distribution of the Likelihood Ratio Test for a Mixture of Two Normals,"
Biometrics, 44, 1195 -1201.
Titterington, D.M., Smith,
A.F.M., and Makov, U.E. (1985), Statistical Analysis of Finite Mixture
Distributions, New York: John Wiley & Sons, Inc.
Ward, J.H. (1963),
"Hierarchical Grouping to Optimize an Objective Function," Journal of the
American Statistical Association, 58, 236 -244.
Wolfe, J.H. (1970), "Pattern
Clustering by Multivariate Mixture Analysis," Multivariate Behavioral
Research, 5, 329 -350.
Wolfe, J.H. (1978),
"Comparative Cluster Analysis of Patterns of Vocational Interest,"
Multivariate Behavioral Research, 13, 33 -44.
Wong, M.A. (1982), "A Hybrid
Clustering Method for Identifying High-Density Clusters," Journal of the
American Statistical Association, 77, 841 -847.
Wong, M.A. and Lane, T.
(1983), "A
kth Nearest Neighbor
Clustering Procedure," Journal of the Royal Statistical Society, Series
B, 45, 362 -368.
Wong, M.A. and Schaack, C.
(1982), "Using the
kth
Nearest Neighbor Clustering Procedure to Determine the Number of
Subpopulations," American Statistical Association 1982 Proceedings of the
Statistical Computing Section, 40 -48.
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