-
1
-
-
0027453616
-
Model-Based Gaussian and Non-Gaussian Clustering
-
Banfield, J. D., and Raftery, A. E. (1993), “Model-Based Gaussian and Non-Gaussian Clustering,” Biometrics, 49, 803-821.
-
(1993)
Biometrics
, vol.49
, pp. 803-821
-
-
Banfield, J.D.1
Raftery, A.E.2
-
2
-
-
0002344672
-
Large-Sample Results for Optimization-Based Clustering Methods
-
Bryant, P. G. (1991), “Large-Sample Results for Optimization-Based Clustering Methods,” Journal of Classi fication, 8, 31-44.
-
(1991)
Journal of Classi Fication
, vol.8
, pp. 31-44
-
-
Bryant, P.G.1
-
3
-
-
0017826298
-
Asymptotic Behavior of Classification Maximum Likelihood Estimates
-
Bryant, P. G., and Williamson, J. A. (1978), “Asymptotic Behavior of Classification Maximum Likelihood Estimates,” Biometrika, 65, 273-281.
-
(1978)
Biometrika
, vol.65
, pp. 273-281
-
-
Bryant, P.G.1
Williamson, J.A.2
-
4
-
-
0001626339
-
A Classification EM Algorithm for Clustering and Two Stochastic Versions
-
Celeux, G., and Govaert, G. (1992), “A Classification EM Algorithm for Clustering and Two Stochastic Versions,” Computational Statistics and Data Analysis, 14, 315-332.
-
(1992)
Computational Statistics and Data Analysis
, vol.14
, pp. 315-332
-
-
Celeux, G.1
Govaert, G.2
-
5
-
-
0032709539
-
Clustering Without an a-priori Metric
-
Coleman, D. A., Dong, X., Hardin, J., Rocke, D. M., and Woodruff, D. L. (1999), “Clustering Without an a-priori Metric,” Computational Statistics and Data Analysis, 31, 1-11.
-
(1999)
Computational Statistics and Data Analysis
, vol.31
, pp. 1-11
-
-
Coleman, D.A.1
Dong, X.2
Hardin, J.3
Rocke, D.M.4
Woodruff, D.L.5
-
7
-
-
85011481945
-
Maximum Likelihood from Incomplete Data via the
-
Dempster, A. P., Laird, N. M., and Rubin, D. B. (1977), “Maximum Likelihood from Incomplete Data via the EM Algorithm,” Journal of the Royal Statistical Society, Series B, 39, 1-38.
-
(1977)
Journal of the Royal Statistical Society, Series B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
8
-
-
0009047534
-
Maximum Likelihood Estimation of the Parameters in a Mixture of Two univariate Normal Distributions; A Comparison of Different Algorithms
-
Everitt, B. S. (1993), “Maximum Likelihood Estimation of the Parameters in a Mixture of Two univariate Normal Distributions; A Comparison of Different Algorithms,” The Statistician, 33, 205-215.
-
(1993)
The Statistician
, vol.33
, pp. 205-215
-
-
Everitt, B.S.1
-
9
-
-
34247969087
-
On Some Invariant Criteria for Grouping Data
-
Friedman, H. P., and Rubin, J. (1967), “On Some Invariant Criteria for Grouping Data,” Journal of the American Statistical Association, 62, 1159-1178.
-
(1967)
Journal of the American Statistical Association
, vol.62
, pp. 1159-1178
-
-
Friedman, H.P.1
Rubin, J.2
-
10
-
-
0013823721
-
A Generalized Two-Sample Wilcoxon Test for Doubly Censored Data
-
Gehan, E. A. (1965), “A Generalized Two-Sample Wilcoxon Test for Doubly Censored Data,” Biometrika, 52, 650-653.
-
(1965)
Biometrika
, vol.52
, pp. 650-653
-
-
Gehan, E.A.1
-
11
-
-
0003675176
-
-
(3rd ed.), Englewood Cliffs, NJ: Prentice Hall
-
Johnson, R. A., and Wichem, D. W. (1992), Applied Multivariate Statistical Analysis (3rd ed.), Englewood Cliffs, NJ: Prentice Hall.
-
(1992)
Applied Multivariate Statistical Analysis
-
-
Johnson, R.A.1
Wichem, D.W.2
-
12
-
-
0016813047
-
Separating Mixtures of Normal Distributions
-
Marriot, F. H. C. (1975), “Separating Mixtures of Normal Distributions,” Biometrics, 31, 767-769.
-
(1975)
Biometrics
, vol.31
, pp. 767-769
-
-
Marriot, F.H.C.1
-
14
-
-
18244387717
-
The EM Algorithm-An Old Folk Song Sung to a Fast New Tune
-
Meng, X. L., and Van Dyk, D. (1997), “The EM Algorithm-An Old Folk Song Sung to a Fast New Tune,” Journal of the Royal Statistical Society, Series B, 59, 511-540.
-
(1997)
Journal of the Royal Statistical Society, Series B
, vol.59
, pp. 511-540
-
-
Meng, X.L.1
Van Dyk, D.2
-
15
-
-
0021644144
-
Fitting Straight Lines to Point Patterns
-
Murtagh, F., and Raftery, A. E. (1984), “Fitting Straight Lines to Point Patterns,” Pattern Recognition, 17, 479-483.
-
(1984)
Pattern Recognition
, vol.17
, pp. 479-483
-
-
Murtagh, F.1
Raftery, A.E.2
-
16
-
-
0030344143
-
Identification of Outliers in Multivariate Data
-
Rocke, D. M., and Woodruff, D. L. (1996), “Identification of Outliers in Multivariate Data,” Journal of the American Statistical Association, 91, 1-15.
-
(1996)
Journal of the American Statistical Association
, vol.91
, pp. 1-15
-
-
Rocke, D.M.1
Woodruff, D.L.2
-
17
-
-
0002564033
-
Multivariate Estimation with High Breakdown Point
-
(vol. B), eds. W. Grossman, G. Pflug, I. Vincze, and W. Dordrecht, Boston: Reidel
-
Rousseeuw, P. J. (1985), “Multivariate Estimation with High Breakdown Point,” in Mathematical Statistics and Applications (vol. B), eds. W. Grossman, G. Pflug, I. Vincze, and W. Dordrecht, Boston: Reidel.
-
(1985)
Mathematical Statistics and Applications
-
-
Rousseeuw, P.J.1
-
19
-
-
0001340183
-
Clustering Based on Likelihood Ratio Criteria
-
Scott, A. J., and Symons, M. J. (1971), “Clustering Based on Likelihood Ratio Criteria,” Biometrics, 27, 387-397.
-
(1971)
Biometrics
, vol.27
, pp. 387-397
-
-
Scott, A.J.1
Symons, M.J.2
-
20
-
-
0002643871
-
Clustering Criteria and Multivariate Normal Mixtures
-
Symons, M. J. (1981), “Clustering Criteria and Multivariate Normal Mixtures,” Biometrics, 37, 35-43.
-
(1981)
Biometrics
, vol.37
, pp. 35-43
-
-
Symons, M.J.1
-
21
-
-
84944178665
-
Hierarchical Groupings to Optimize an Objective Function
-
Ward, J. H. (1963), “Hierarchical Groupings to Optimize an Objective Function,” Journal of the American Statistical Association, 58, 236-244
-
(1963)
Journal of the American Statistical Association
, vol.58
, pp. 236-244
-
-
Ward, J.H.1
|