The practice of cluster analysis

Journal of Classification

Volumn 23, Issue 1, 2006, Pages 3-30

  Kettenring, Jon R ^a  

^a DREW UNIVERSITY   (United States)

Author keywords

Applications; Discriminant analysis; Principal components analysis; Process improvement; Research needs; Usage trends

Indexed keywords

EID: 33746257145     PISSN: 01764268     EISSN: 14321343     Source Type: Journal    
DOI: 10.1007/s00357-006-0002-6     Document Type: Article

References (65)

1. ALLIK, J., and MCCRAE, R.R. (2004), "Toward a Geography of Personality Traits Patterns of Profiles Across 36 Cultures," Journal of Cross-Cultural Psychology, 35,13-28.
2. ANDERSON, T.W. (1958), An Introduction to Multivariate Statistical Analysis, New York: Wiley. (3rd ed., 2003)
3. ART, D.A., GNANADESIKAN, R., and KETTENRING, J.R. (1982), "Data-based Metrics for Cluster Analysis," Utilitas Mathematica, 21 A, 75-79.
4. BANFIELD, J., and RAFTERY, A. (1993), "Model-based Gaussian and Non-Gaussian Clustering," Biometrics, 49, 803-821.
5. BASU, S., BILENKO, M., and MOONEY, R.J. (2004), "A Probabilistic Framework for Semi-Supervised Clustering," in Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2004), pp. 59-68.
6. BAXTER, M. (2003), Statistics in Archaeology, London: Hodder Arnold.
7. BOTTOMLEY, P., and NAIRN, A. (2004), "Blinded by Science: the Managerial Consequences of Inadequately Validated Cluster Analysis Solutions," International Journal of Market Research, 46,171 -187.
8. BRAVERMAN, A. (2005). Personal communication.
9. BRAVERMAN, A., FETZER, E., ELDERING, A., NITTEL, S., and LEUNG, K. (2003), "Semi-streaming Quantization for Remote Sensing Data," Journal of Computational and Graphical Statistics, 12,759-780.
10. BROWN, C.E. (1998). Applied Multivariate Statistics in Geohydrology and Related Sciences. Berlin: Springer-Verlag.
11. BUJA, A., COOK, D., and SWAYNE, D.F. (1996), "Interactive High-Dimensional Data Visualization," Journal of Computational and Graphical Statistics, 5, 78-97.
12. CHANG, W-C. (1983). "On Using Principal Components Before Separating a Mixture of Two Multivariate Normal Distributions," Applied Statistics, 32, 267-275.
13. CHEREPINSKY, V., FENG, J., REJALI, M., and MISHRA, B. (2002), "Shrinkage-based Similarity Metric for Cluster Analysis of Microarray Data," Proceedings of the National Academy of Sciences, 100, 9668-9673.
14. DEVLIN, S.J., GNANADESIKAN, R., and KETTENRING, J.R. (1976), "Robust Estimation and Outlier Detection With Correlation Coefficients," Biometrika, 62, 531-545.
15. DOMANY, E. (2003), "Cluster Analysis of Gene Expression Data," Journal of Statistical Physics, 110, 1117-1139.
16. EISEN, M.B., SPELLMAN, P.T., BROWN, P.O., and BOTSTEIN, D. (1998), "Cluster Analysis and Display of Genome-wide Expression Patterns," Proceedings of the National Academy of Sciences, 95, 14863-14868.
17. ted.), New York: Arnold Publishers.
18. FALUSH, D., STEPHENS, M., and PRITCHARD, J.K. (2003), "Inference of Population Structure Using Multilocus Genotype Data: Linked Loci and Correlated Allele Frequencies," Genetics, 164, 1567-1587.
19. FISHER, L., and VAN NESS, J.W. (1971), "Admissible Clustering Procedures," Biometrika, 58, 91-104.
20. FRALEY, C. (1998), "Algorithms for Model-based Gaussian Hierarchical Clustering," SIAM Journal of Scientific Computing, 20, 270-281.
21. FRALEY, C., and RAFTERY, A.E. (2002), "Model-based Clustering, Discriminant Analysis, and Density Estimation," Journal of the American Statistical Association, 97, 611-631.
22. FRALEY, C., and RAFTERY, A.E. (2003), "Enhanced Model-based Clustering, Density Estimation, and Discriminant Analysis Software: MCLUST," Journal of Classification, 20, 263-286.
23. FRIEDMAN, J., and MEULMAN, J. (2004), "Clustering Objects on Subsets of Attributes (with discussion)," Journal of the Royal Statistical Society B, Ser. B, 815-849.
24. GNANADESIKAN, R. (1977). Methods for Statistical Data Analysis of Multivariate Observations, New York: Wiley. (2nd ed., 1997)
25. GNANADESIKAN, R., and KETTENRING, J R. (1984), "A Pragmatic Review of Multivariate Methods in Applications," in Statistics: An Appraisal, Eds. H.A. David and H.T. David, Ames, IA: The Iowa State University Press, pp. 309-337.
26. GNANADESIKAN, R. KETTENRING, J.R., and LANDWEHR, J.M. (1982), "Projection Plots for Displaying Clusters," in Statistics and Probability: Essays in Honor of C. R. Rao, Eds. G. Kallianpur, P.R. Krishnaiah, and J.K. Ghosh, Amsterdam: North-Holland, pp. 269-290.
27. GNANADESIKAN, R, KETTENRING, J.R., and TSAO, S.L. (1995A), "Weighting and Selection of Variables for Cluster Analysis," Journal of Classification, 12, 113-136.
28. GNANADESIKAN, R., KETTENRING, J.R., and TSAO, S.L. (1995B), "Some Practical Issues in Using Cluster Analysis," Bulletin of the International Statistical Institute, Contributed Papers, 1, 412-413.
29. GORDON, A.D. (1999), Classification (2nd ed.), Boca Raton: Chapman & Hall/CRC.
30. th Framework Programme).
31. HALL, M.E. (2004), "Pottery Production During the Late Jomon Period: Insights from the Chemical Analyses of Kasori B Pottery," Journal of Archaeological Science, 31, 1439-1450.
32. HAND, D., MANNILA, H., and SMYTH, P. (2001), Principles of Data Mining, Cambridge, MA: The MIT Press.
33. HARTIGAN, J.A. (1975), Clustering Algorithms, New York: Wiley-Interscience.
34. HASTIE, T., TIBSHIRANI, R., and FRIEDMAN, J. (2001), The Elements of Statistical Learning: Data Mining, Inference, and Prediction, New York: Springer-Verlag.
35. JIANG, D.X., TANG, C. and ZHANG, AD. (2004), "Cluster Analysis for Gene Expression Data: a Survey," IEEE Transactions on Knowledge and Data Engineering, 16, 1370-1386.
36. JOHN, R., KERBY, D.S. and HENNESSY, C.H. (2003), "Patterns and Impact of Comorbidity and Multimorbidity Among Community-resident American Indian Elders," The Gerontologist, 43, 49-660.
37. JOHNSON, R. A. and WICHERN, D. W. (1982), Applied Multivariate Statistical Analysis, Englewood Cliffs, NJ: Prentice-Hall. (5th ed., 2002)
38. JOLLIFFE, I.T. (2002), Principal Component Analysis (2nd ed.), New York: Springer.
39. KAUFMAN, L., and ROUSSEEUW, P.J. (1990), Finding Groups in Data: an Introduction to Cluster Analysis, New York: Wiley-Interscience.
40. KIM, C., SHIN, H., and CHOI, H. (2003), "A Phonetic Analysis of Typha in Korea and Far East Russia," Aquatic Botany, 75, 33-43.
41. LE MAPIHAN, K., VIAL, J., and JARDY, A. (2004), "Testing of 'Special Base' Columns in Reversed-phase Liquid Chromatography - A Rational Approach Considering Solvent Effects," Journal of Chromatography A, 1030, 135-147.
42. LEGENDRE, P., and LEGENDRE, L. (1998), Numerical Ecology, Amsterdam: Elsevier.
43. MAITRA, R. (2001). "Clustering Massive Data Sets with Applications in Software Metrics and Tomography," Technometrics, 43, 336-346.
44. MILLER, J.M. (2004), Chromatography: Concepts and Contrasts (2nd ed.), New York: Wiley-Interscience.
45. MURTAGH, F. (2002), "Clustering in Massive Data Sets," in Handbook of Massive Data Sets, Eds. J. Abello, P.M. Pardalos, and M.G. Resende, New York: Kluwer, pp. 501-543.
46. PARKER, H.G., KIM, L.V., SUTTER, N.B., CARLSON, S., LORENTZEN, T.D., MALEK, T.B., JOHNSON, G.S., DEFRANCE, H.B., OSTRANDER, E.A., and KRUGLYAK, L. (2004), "Genetic Structure of the Purebred Domestic Dog," Science, 304, 1160-1164.
47. RAO, C.R. (1965), Linear Statistical Inference and Its Applications, New York: Wiley. (2nd ed., 1973)
48. ROCKE, D., and DAI, J. (2003), "Sampling and Subsampling for Cluster Analysis in Data Mining: With Applications to Sky Survey Data," Data Mining and Knowledge Discovery, 7, 215-232.
49. SEBASTIANI, P., GUSSONI, E., KOHANE, I.S. and RAMONI, M.F. (2003), "Statistical Challenges in Functional Genomics," Statistical Science, 18, 33-70.
50. SEBER, G.A.F. (1984), Multivariate Observations, New York: Wiley.
51. SHAW, P.J.A. (2003), Multivariate Statistics for the Environmental Sciences, London: Hodder Arnold.
52. SNEATH, P.H.A., and SOKAL, R.R. (1973), Numerical Taxonomy, San Francisco: Freeman.
53. SPERGER, J.M., CHEN, X., DRAPER, J.S., ANTOSIEWICZ, J.E., CHON, C H., JONES, S.B., BROOKS, J.D., ANDREWS, P.W., BROWN, P.O., and THOMSON, J.A. (2003), "Gene Expression Patterns in Human Embryonic Stem Cells and Human Pluripotent Germ Cell Tumors," Proceedings of the National Academy of Sciences, 100, 13350-13355.
54. STANBERRY, L., NANDY, R., and CORDES, D (2003), "Cluster Analysis of fMRI Data Using Dendrogram Sharpening," Human Brain Mapping, 20, 201-219.
55. STEFURAK, T., CALHOUN, G.G., and GLASER, B. A. (2004), "Personality Typologies of Male Juvenile Offenders Using a Cluster Analysis of the Millon Adolescent Clinical Inventory Introduction," International Journal of Offender Therapy and Comparative Criminology, 48, 96-110.
56. STEINLEY, D. (2003), "Local Optima in K-Means Clustering: What You Don't Know May Hurt You," Psychological Methods, 8, 294-304.
57. STUETZLE, W. (2003), "Estimating the Cluster Tree of a Density by Analyzing the Minimal Spanning Tree of a Sample," Journal of Classification, 20, 25-47.
58. TSENG, G.C., and WONG, W.H. (2005), "Tight Clustering: A Resampling-based Approach for Identifying Stable and Tight Patterns in Data," Biometrics, 61, 10-16.
59. TUKEY, P.A., and TUKEY, J.W. (1981), "Data-driven View Selection; Agglomeration and Sharpening," in Interpreting Multivariate Data, Ed. V. Barnett, New York: Wiley, pp. 215-243.
60. VAN REES, K., and VAN EIJCK, K. (2003), "Media Repertoires of Selective Audiences: the Impact of Status, Gender, and Age on Media Use," Poetics, 31, 465-490.
61. WEGMAN, E.J. (2003), "Hyperdimensional Data Analysis Using parallel Coordinates," Journal of the American Statistical Association, 85, 664-675.
62. XU, R. and WUNSCH, D. (2005), "Survey of Clustering Algorithms," IEEE Transactions on Neural Networks, 16, 645-678.
63. YEUNG, K.Y., FRALEY, C., MURUA, A., RAFTERY, A.E., and RUZZO, W.L. (2001), "Model-based Clustering and Data Transformations for Gene Expression Data," Bioinformatics, 17, 977-987.
64. YEUNG, K.Y., and RUZZO, W.L. (2001), "Principal Component Analysis for Clustering Gene Expression Data," Bioinformatics, 17, 763-774.
65. ZHU, X. (2005). "Semi-Supervised Learning Literature Survey," Computer Sciences Technical Report 1530, University of Wisconsin, available at http://www.cs.wisc.edu /~jerryzhu/pub/ssl_survey.pdf.