-
1
-
-
0027453616
-
Model-based Gaussian and non-Gaussian clustering
-
Banfield, J. D., Raftery, A. E.: Model-based Gaussian and non-Gaussian clustering. Biometrics 49(3), 803-821 (1993).
-
(1993)
Biometrics
, vol.49
, Issue.3
, pp. 803-821
-
-
Banfield, J.D.1
Raftery, A.E.2
-
2
-
-
0034228914
-
Assessing a mixture model for clustering with the integrated completed likelihood
-
Biernacki, C., Celeux, G., Govaert, G.: Assessing a mixture model for clustering with the integrated completed likelihood. IEEE Trans. Pattern Anal. Mach. Intell. 22(7), 719-725 (2000).
-
(2000)
IEEE Trans. Pattern Anal. Mach. Intell
, vol.22
, Issue.7
, pp. 719-725
-
-
Biernacki, C.1
Celeux, G.2
Govaert, G.3
-
3
-
-
85042555546
-
Bayesian cluster analysis
-
Binder, D. A.: Bayesian cluster analysis. Biometrika 65, 31-38 (1978).
-
(1978)
Biometrika
, vol.65
, pp. 31-38
-
-
Binder, D.A.1
-
4
-
-
0001730744
-
The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family
-
Böhning, D., Dietz, E., Schaub, R., Schlattmann, P., Lindsay, B.: The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family. Ann. Ins. Stat. Math. 46, 373-388 (1994).
-
(1994)
Ann. Ins. Stat. Math
, vol.46
, pp. 373-388
-
-
Böhning, D.1
Dietz, E.2
Schaub, R.3
Schlattmann, P.4
Lindsay, B.5
-
6
-
-
0029305528
-
Gaussian parsimonious clustering models
-
Celeux, G., Govaert, G.: Gaussian parsimonious clustering models. Pattern Recogn. 28, 781-793 (1995).
-
(1995)
Pattern Recogn
, vol.28
, pp. 781-793
-
-
Celeux, G.1
Govaert, G.2
-
7
-
-
0032337237
-
Detecting features in spatial point processes with clutter via model-based clustering
-
Dasgupta, A., Raftery, A. E.: Detecting features in spatial point processes with clutter via model-based clustering. J. Am. Stat. Assoc. 93, 294-302 (1998).
-
(1998)
J. Am. Stat. Assoc
, vol.93
, pp. 294-302
-
-
Dasgupta, A.1
Raftery, A.E.2
-
8
-
-
0001381164
-
Estimating the components of a mixture of normal distributions
-
Day, N. E.: Estimating the components of a mixture of normal distributions. Biometrika 56, 463-474 (1969).
-
(1969)
Biometrika
, vol.56
, pp. 463-474
-
-
Day, N.E.1
-
10
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
Dempster, A. P., Laird, N. M., Rubin, D. B.: Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. Ser. B 39(1), 1-38 (1977).
-
(1977)
J. R. Stat. Soc. Ser. B
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
11
-
-
0001757440
-
Multivariate data analysis as a discriminating method of the origin of wines
-
Forina, M., Armanino, C., Castino, M., Ubigli, M.: Multivariate data analysis as a discriminating method of the origin of wines. Vitis 25, 189-201 (1986).
-
(1986)
Vitis
, vol.25
, pp. 189-201
-
-
Forina, M.1
Armanino, C.2
Castino, M.3
Ubigli, M.4
-
12
-
-
0032269108
-
How many clusters? Which clustering methods? Answers via model-based cluster analysis
-
Fraley, C., Raftery, A. E.: How many clusters? Which clustering methods? Answers via model-based cluster analysis. Comput. J. 41(8), 578-588 (1998).
-
(1998)
Comput. J
, vol.41
, Issue.8
, pp. 578-588
-
-
Fraley, C.1
Raftery, A.E.2
-
13
-
-
0035998835
-
Model-based clustering, discriminant analysis, and density estimation
-
Fraley, C., Raftery, A. E.: Model-based clustering, discriminant analysis, and density estimation. J. Am. Stat. Assoc. 97(458), 611-631 (2002).
-
(2002)
J. Am. Stat. Assoc
, vol.97
, Issue.458
, pp. 611-631
-
-
Fraley, C.1
Raftery, A.E.2
-
14
-
-
0742306126
-
Enhanced software for model-based clustering, density estimation, and discriminant analysis: MCLUST
-
Fraley, C., Raftery, A. E.: Enhanced software for model-based clustering, density estimation, and discriminant analysis: MCLUST. J. Classif. 20, 263-286 (2003).
-
(2003)
J. Classif
, vol.20
, pp. 263-286
-
-
Fraley, C.1
Raftery, A.E.2
-
15
-
-
34547913193
-
-
Technical Report 504, Department of Statistics, University of Washington, minor revisions January 2007 and November 2007
-
Fraley, C., Raftery, A. E.: MCLUST: version 3 for R: normal mixture modeling and model-based clustering. Technical Report 504, Department of Statistics, University of Washington, minor revisions January 2007 and November 2007 (2006).
-
(2006)
MCLUST: version 3 for R: normal mixture modeling and model-based clustering
-
-
Fraley, C.1
Raftery, A.E.2
-
17
-
-
0003744821
-
The EM algorithm for factor analyzers
-
University of Toronto, Toronto
-
Ghahramani, Z., Hinton, G. E.: The EM algorithm for factor analyzers. Tech. Rep. CRG-TR-96-1. University of Toronto, Toronto (1997).
-
(1997)
Tech. Rep. CRG-TR-96-1
-
-
Ghahramani, Z.1
Hinton, G.E.2
-
18
-
-
77249156236
-
A mixture of experts model for rank data with applications in election studies
-
Gormley, I. C., Murphy, T. B.: A mixture of experts model for rank data with applications in election studies. Ann. Appl. Stat. 2(4), 1452-1477 (2008).
-
(2008)
Ann. Appl. Stat
, vol.2
, Issue.4
, pp. 1452-1477
-
-
Gormley, I.C.1
Murphy, T.B.2
-
19
-
-
0000008146
-
Comparing partitions
-
Hubert, L., Arabie, P.: Comparing partitions. J. Classif. 2, 193-218 (1985).
-
(1985)
J. Classif
, vol.2
, pp. 193-218
-
-
Hubert, L.1
Arabie, P.2
-
20
-
-
11244326960
-
Clustering visualizations of multivariate data
-
Hurley, C.: Clustering visualizations of multivariate data. J. Comput. Graph. Stat. 13(4), 788-806 (2004).
-
(2004)
J. Comput. Graph. Stat
, vol.13
, Issue.4
, pp. 788-806
-
-
Hurley, C.1
-
22
-
-
0002954754
-
Consistent estimation of the order of mixture models
-
Keribin, C.: Consistent estimation of the order of mixture models. Sankhyā Indian J. Stat. Ser. A 62(1), 49-66 (2000).
-
(2000)
Sankhyā Indian J. Stat. Ser. A
, vol.62
, Issue.1
, pp. 49-66
-
-
Keribin, C.1
-
23
-
-
21144475085
-
Consistent estimation of a mixing distribution
-
Leroux, B. G.: Consistent estimation of a mixing distribution. Ann. Stat. 20, 1350-1360 (1992).
-
(1992)
Ann. Stat
, vol.20
, pp. 1350-1360
-
-
Leroux, B.G.1
-
24
-
-
0003286354
-
Mixture models: theory, geometry and applications
-
Hayward: Institute of Mathematical Statistics
-
Lindsay, B. G.: Mixture models: theory, geometry and applications. In: NSF-CBMS Regional Conference Series in Probability and Statistics, vol. 5. Institute of Mathematical Statistics, Hayward (1995).
-
(1995)
NSF-CBMS Regional Conference Series in Probability and Statistics
, vol.5
-
-
Lindsay, B.G.1
-
25
-
-
1842539381
-
Bayesian model assessment in factor analysis
-
Lopes, H. F., West, M.: Bayesian model assessment in factor analysis. Stat. Sinica 14, 41-67 (2004).
-
(2004)
Stat. Sinica
, vol.14
, pp. 41-67
-
-
Lopes, H.F.1
West, M.2
-
26
-
-
0000648031
-
On the use of discriminant functions in taxonomy
-
Lubischew, A. A.: On the use of discriminant functions in taxonomy. Biometrics 18(4), 455-477 (1962).
-
(1962)
Biometrics
, vol.18
, Issue.4
, pp. 455-477
-
-
Lubischew, A.A.1
-
27
-
-
0001294055
-
The classification and mixture maximum likelihood approaches to cluster analysis
-
Amsterdam: North-Holland
-
McLachlan, G. J.: The classification and mixture maximum likelihood approaches to cluster analysis. In: Handbook of Statistics, vol. 2, pp. 199-208. North-Holland, Amsterdam (1982).
-
(1982)
Handbook of Statistics
, vol.2
, pp. 199-208
-
-
McLachlan, G.J.1
-
30
-
-
84947788012
-
Robust cluster analysis via mixtures of multivariate t-distributions
-
Berlin: Springer
-
McLachlan, G. J., Peel, D.: Robust cluster analysis via mixtures of multivariate t-distributions. In: Lecture Notes in Computer Science, vol. 1451, pp. 658-666. Springer, Berlin (1998).
-
(1998)
Lecture Notes in Computer Science
, vol.1451
, pp. 658-666
-
-
McLachlan, G.J.1
Peel, D.2
-
33
-
-
34247855883
-
Extension of the mixture of factor analyzers model to incorporate the multivariate t-distribution
-
McLachlan, G. J., Bean, R. W., Jones, L. B. T.: Extension of the mixture of factor analyzers model to incorporate the multivariate t-distribution. Comput. Stat. Data Anal. 51(11), 5327-5338 (2007).
-
(2007)
Comput. Stat. Data Anal
, vol.51
, Issue.11
, pp. 5327-5338
-
-
McLachlan, G.J.1
Bean, R.W.2
Jones, L.B.T.3
-
34
-
-
74149093702
-
Model-based classification using latent Gaussian mixture models
-
McNicholas, P. D.: Model-based classification using latent Gaussian mixture models. J. Stat. Plan. Inference 140(5), 1175-1181 (2010).
-
(2010)
J. Stat. Plan. Inference
, vol.140
, Issue.5
, pp. 1175-1181
-
-
McNicholas, P.D.1
-
35
-
-
70649101438
-
Parsimonious Gaussian mixture models
-
Department of Statistics, Trinity College Dublin
-
McNicholas, P. D., Murphy, T. B.: Parsimonious Gaussian mixture models. Tech. Rep. 05/11, Department of Statistics, Trinity College Dublin (2005).
-
(2005)
Tech. Rep. 05/11
-
-
McNicholas, P.D.1
Murphy, T.B.2
-
36
-
-
45449088666
-
Parsimonious Gaussian mixture models
-
McNicholas, P. D., Murphy, T. B.: Parsimonious Gaussian mixture models. Stat. Comput. 18, 285-296 (2008).
-
(2008)
Stat. Comput
, vol.18
, pp. 285-296
-
-
McNicholas, P.D.1
Murphy, T.B.2
-
37
-
-
77949908759
-
Model-based clustering of longitudinal data
-
McNicholas, P. D., Murphy, T. B.: Model-based clustering of longitudinal data. Can. J. Stat. 38(1), 153-168 (2010).
-
(2010)
Can. J. Stat
, vol.38
, Issue.1
, pp. 153-168
-
-
McNicholas, P.D.1
Murphy, T.B.2
-
38
-
-
70549109507
-
Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models
-
McNicholas, P. D., Murphy, T. B., McDaid, A. F., Frost, D.: Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models. Comput. Stat. Data Anal. 54(3), 711-723 (2010).
-
(2010)
Comput. Stat. Data Anal
, vol.54
, Issue.3
, pp. 711-723
-
-
McNicholas, P.D.1
Murphy, T.B.2
McDaid, A.F.3
Frost, D.4
-
39
-
-
18244387717
-
The EM algorithm-an old folk song sung to a fast new tune (with discussion)
-
Meng, X. L., van Dyk: The EM algorithm-an old folk song sung to a fast new tune (with discussion). J. R. Stat. Soc. Ser. B 59, 511-567 (1997).
-
(1997)
J. R. Stat. Soc. Ser. B
, vol.59
, pp. 511-567
-
-
Meng, X.L.1
van Dyk2
-
40
-
-
0000251971
-
Maximum likelihood estimation via the ECM algorithm: a general framework
-
Meng, X. L., Rubin, D. B.: Maximum likelihood estimation via the ECM algorithm: a general framework. Biometrika 80, 267-278 (1993).
-
(1993)
Biometrika
, vol.80
, pp. 267-278
-
-
Meng, X.L.1
Rubin, D.B.2
-
41
-
-
84908418476
-
R: a language and environment for statistical computing
-
Austria: Vienna
-
R Development Core Team (2009) R: a language and environment for statistical computing: R foundation for statistical computing, Vienna, Austria. http://www. R-project. org.
-
(2009)
R foundation for statistical computing
-
-
-
42
-
-
33645505223
-
Variable selection for model-based clustering
-
Raftery, A. E., Dean, N.: Variable selection for model-based clustering. J. Am. Stat. Assoc. 101(473), 168-178 (2006).
-
(2006)
J. Am. Stat. Assoc
, vol.101
, Issue.473
, pp. 168-178
-
-
Raftery, A.E.1
Dean, N.2
-
43
-
-
84950632109
-
Objective criteria for the evaluation of clustering methods
-
Rand, W. M.: Objective criteria for the evaluation of clustering methods. J. Am. Stat. Assoc. 66, 846-850 (1971).
-
(1971)
J. Am. Stat. Assoc
, vol.66
, pp. 846-850
-
-
Rand, W.M.1
-
44
-
-
0000120766
-
Estimating the dimension of a model
-
Schwarz, G.: Estimating the dimension of a model. Ann. Stat. 6, 31-38 (1978).
-
(1978)
Ann. Stat
, vol.6
, pp. 31-38
-
-
Schwarz, G.1
-
45
-
-
77956881791
-
Dimension reduction for model-based clustering
-
doi: 10. 1007/s11222-009-9138-7
-
Scrucca, L.: Dimension reduction for model-based clustering. Stat. Comput. (2009, in press). doi: 10. 1007/s11222-009-9138-7.
-
(2009)
Stat. Comput
-
-
Scrucca, L.1
-
46
-
-
0036568162
-
Robust clustering by deterministic agglomeration em of mixtures of multivariate t-distributions
-
Shoham, S.: Robust clustering by deterministic agglomeration em of mixtures of multivariate t-distributions. Pattern Recogn. 35(5), 1127-1142 (2002).
-
(2002)
Pattern Recogn
, vol.35
, Issue.5
, pp. 1127-1142
-
-
Shoham, S.1
-
47
-
-
0142162852
-
-
Swayne, D., Cook, D., Buja, A., Lang, D., Wickham, H., Lawrence, M.: (2006) GGobi Manual. Sourced from www. ggobi. org/docs/manual. pdf.
-
(2006)
GGobi Manual
-
-
Swayne, D.1
Cook, D.2
Buja, A.3
Lang, D.4
Wickham, H.5
Lawrence, M.6
-
48
-
-
0033556788
-
Mixtures of probabilistic principal component analysers
-
Tipping, T. E., Bishop, C. M.: Mixtures of probabilistic principal component analysers. Neural Comput. 11(2), 443-482 (1999a).
-
(1999)
Neural Comput
, vol.11
, Issue.2
, pp. 443-482
-
-
Tipping, T.E.1
Bishop, C.M.2
-
49
-
-
0038959172
-
Probabilistic principal component analysers
-
Tipping, T. E., Bishop, C. M.: Probabilistic principal component analysers. J. R. Stat. Soc. Ser. B 61, 611-622 (1999b).
-
(1999)
J. R. Stat. Soc. Ser. B
, vol.61
, pp. 611-622
-
-
Tipping, T.E.1
Bishop, C.M.2
-
50
-
-
0009909260
-
Object cluster analysis of social areas
-
University of California, Berkeley
-
Wolfe, J. H.: Object cluster analysis of social areas. Master's thesis, University of California, Berkeley (1963).
-
(1963)
Master's thesis
-
-
Wolfe, J.H.1
-
51
-
-
0012393308
-
Pattern clustering by multivariate mixture analysis
-
Wolfe, J. H.: Pattern clustering by multivariate mixture analysis. Multiv. Behav. Res. 5, 329-350 (1970).
-
(1970)
Multiv. Behav. Res
, vol.5
, pp. 329-350
-
-
Wolfe, J.H.1
-
52
-
-
0003742929
-
Inverting modified matrices
-
No. 42, Princeton University, Princeton, New Jersey
-
Woodbury, M. A.: Inverting modified matrices. Statistical Research Group, Memo. Rep. No. 42, Princeton University, Princeton, New Jersey (1950).
-
(1950)
Statistical Research Group, Memo. Rep
-
-
Woodbury, M.A.1
-
53
-
-
33748413305
-
Probabilistic PCA for t distributions
-
Zhao, J., Jiang, Q.: Probabilistic PCA for t distributions. Neurocomputing 69(16-18), 2217-2226 (2006).
-
(2006)
Neurocomputing
, vol.69
, Issue.16-18
, pp. 2217-2226
-
-
Zhao, J.1
Jiang, Q.2
|