-
1
-
-
0002965815
-
The proof and measurement of association between two things
-
C. Spearman The proof and measurement of association between two things American Journal of Psychology 15 1904 72 101
-
(1904)
American Journal of Psychology
, vol.15
, pp. 72-101
-
-
Spearman, C.1
-
4
-
-
0003744820
-
-
Department of Computer Science, University of Toronto
-
Z. Ghahramani, G.E. Hinton, The EM algorithm for mixtures of factor analyzers, Technical Report, CRG-TR-96-1, Department of Computer Science, University of Toronto, 1997.
-
(1997)
The em Algorithm for Mixtures of Factor Analyzers, Technical Report, CRG-TR-96-1
-
-
Ghahramani, Z.1
Hinton, G.E.2
-
5
-
-
85032751900
-
Learning low-dimensional signal models
-
L. Carin, R.G. Baraniuk, V. Cevher, D. Dunson, M.I. Jordan, G. Sapiro, M.B. Wakin Learning low-dimensional signal models IEEE Signal Processing Magazine 28 2 2011 381 396
-
(2011)
IEEE Signal Processing Magazine
, vol.28
, Issue.2
, pp. 381-396
-
-
Carin, L.1
Baraniuk, R.G.2
Cevher, V.3
Dunson, D.4
Jordan, M.I.5
Sapiro, G.6
Wakin, M.B.7
-
8
-
-
84947788012
-
Robust cluster analysis via mixtures of multivariate t-distributions
-
G.J. McLachlan, D. Peel Robust cluster analysis via mixtures of multivariate t-distributions Lecture Notes in Computer Science 1451 1998 658 666
-
(1998)
Lecture Notes in Computer Science
, vol.1451
, pp. 658-666
-
-
McLachlan, G.J.1
Peel, D.2
-
9
-
-
0041407143
-
Robust mixture modelling using the t distribution
-
D. Peel, G.J. McLachlan Robust mixture modelling using the t distribution Statistics and Computing 10 4 2000 339 348
-
(2000)
Statistics and Computing
, vol.10
, Issue.4
, pp. 339-348
-
-
Peel, D.1
McLachlan, G.J.2
-
10
-
-
34247855883
-
Extension of the mixture of factor analyzers model to incorporate the multivariate t-distribution
-
G.J. McLachlan, R.W. Bean, B.J. Jones Extension of the mixture of factor analyzers model to incorporate the multivariate t-distribution Computational Statistics and Data Analysis 51 11 2007 5327 5338
-
(2007)
Computational Statistics and Data Analysis
, vol.51
, Issue.11
, pp. 5327-5338
-
-
McLachlan, G.J.1
Bean, R.W.2
Jones, B.J.3
-
11
-
-
40749103793
-
Signal modeling and classification using a robust latent space model based on t distributions
-
S. Chatzis, D. Kosmopoulos, T. Varvarigou Signal modeling and classification using a robust latent space model based on t distributions IEEE Transactions on Signal Processing 56 3 2008 949 963
-
(2008)
IEEE Transactions on Signal Processing
, vol.56
, Issue.3
, pp. 949-963
-
-
Chatzis, S.1
Kosmopoulos, D.2
Varvarigou, T.3
-
12
-
-
78650198655
-
Mixtures of modified t-factor analyzers for model-based clustering, classification, discriminant analysis
-
J.L. Andrews, P.D. McNicholas Mixtures of modified t-factor analyzers for model-based clustering, classification, discriminant analysis Journal of Statistical Planning and Inference 141 4 2011 1479 1486
-
(2011)
Journal of Statistical Planning and Inference
, vol.141
, Issue.4
, pp. 1479-1486
-
-
Andrews, J.L.1
McNicholas, P.D.2
-
13
-
-
77958055170
-
Extending mixtures of multivariate t-factor analyzers
-
J.L. Andrews, P.D. McNicholas Extending mixtures of multivariate t-factor analyzers Statistics and Computing 21 3 2011 361 373
-
(2011)
Statistics and Computing
, vol.21
, Issue.3
, pp. 361-373
-
-
Andrews, J.L.1
McNicholas, P.D.2
-
15
-
-
77958504829
-
Model-based clustering of microarray expression data via latent Gaussian mixture models
-
P.D. McNicholas, T.B. Murphy Model-based clustering of microarray expression data via latent Gaussian mixture models Bioinformatics 26 21 2010 2705 2712
-
(2010)
Bioinformatics
, vol.26
, Issue.21
, pp. 2705-2712
-
-
McNicholas, P.D.1
Murphy, T.B.2
-
16
-
-
79954535330
-
Mixtures of common t-factor analyzers for clustering high-dimensional microarray data
-
J. Baek, G.J. McLachlan Mixtures of common t-factor analyzers for clustering high-dimensional microarray data Bioinformatics 27 9 2011 1269 1276
-
(2011)
Bioinformatics
, vol.27
, Issue.9
, pp. 1269-1276
-
-
Baek, J.1
McLachlan, G.J.2
-
17
-
-
78751536244
-
Heteroscedastic factor mixture analysis
-
A. Montanari, C. Viroli Heteroscedastic factor mixture analysis Statistical Modelling 10 4 2010 441 460
-
(2010)
Statistical Modelling
, vol.10
, Issue.4
, pp. 441-460
-
-
Montanari, A.1
Viroli, C.2
-
18
-
-
84895907429
-
Dimensionally reduced model-based clustering through mixtures of factor mixture analyzers
-
C. Viroli Dimensionally reduced model-based clustering through mixtures of factor mixture analyzers Journal of Classification 27 3 2010 363 388
-
(2010)
Journal of Classification
, vol.27
, Issue.3
, pp. 363-388
-
-
Viroli, C.1
-
19
-
-
77952666333
-
Mixtures of factor analyzers with common factor loadings: Applications to the clustering and visualization of high-dimensional data
-
J. Baek, G.J. McLachlan, L.K. Flack Mixtures of factor analyzers with common factor loadings: applications to the clustering and visualization of high-dimensional data IEEE Transactions on Pattern Analysis and Machine Intelligence 32 7 2010 1298 1309
-
(2010)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.32
, Issue.7
, pp. 1298-1309
-
-
Baek, J.1
McLachlan, G.J.2
Flack, L.K.3
-
20
-
-
79960940517
-
Finite mixture models and model-based clustering
-
V. Melnykov, R. Maitra Finite mixture models and model-based clustering Statistics Surveys 4 2010 80 116
-
(2010)
Statistics Surveys
, vol.4
, pp. 80-116
-
-
Melnykov, V.1
Maitra, R.2
-
21
-
-
2642570831
-
Time series clustering with ARMA mixtures
-
Y. Xiong, D.Y. Yeung Time series clustering with ARMA mixtures Pattern Recognition 37 8 2004 1675 1689
-
(2004)
Pattern Recognition
, vol.37
, Issue.8
, pp. 1675-1689
-
-
Xiong, Y.1
Yeung, D.Y.2
-
22
-
-
0742324924
-
Singularities in mixture models and upper bounds of stochastic complexity
-
K. Yamazaki, S. Watanabe Singularities in mixture models and upper bounds of stochastic complexity Neural Networks 16 7 2003 1029 1038
-
(2003)
Neural Networks
, vol.16
, Issue.7
, pp. 1029-1038
-
-
Yamazaki, K.1
Watanabe, S.2
-
25
-
-
0000708831
-
Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
-
C. Antoniak Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems Annals of Statistics 2 1974 1152 1174
-
(1974)
Annals of Statistics
, vol.2
, pp. 1152-1174
-
-
Antoniak, C.1
-
26
-
-
73949130630
-
A Dirichlet process mixture of generalized Dirichlet distributions for proportional data modeling
-
N. Bouguila, D. Ziou A Dirichlet process mixture of generalized Dirichlet distributions for proportional data modeling IEEE Transactions on Neural Networks 21 1 2010 107 122
-
(2010)
IEEE Transactions on Neural Networks
, vol.21
, Issue.1
, pp. 107-122
-
-
Bouguila, N.1
Ziou, D.2
-
27
-
-
80052303923
-
The infinite Students t-mixture for robust modeling
-
X. Wei, C. Li The infinite Students t-mixture for robust modeling Signal Processing 92 1 2012 224 234
-
(2012)
Signal Processing
, vol.92
, Issue.1
, pp. 224-234
-
-
Wei, X.1
Li, C.2
-
28
-
-
0033225865
-
A introduction to variational methods for graphical models
-
M.I. Jordan A introduction to variational methods for graphical models Machine Learning 37 2 1999 183 233
-
(1999)
Machine Learning
, vol.37
, Issue.2
, pp. 183-233
-
-
Jordan, M.I.1
-
29
-
-
70450248402
-
Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
-
P. Bruneau, M. Gelgon, F. Picarougne Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach Pattern Recognition 43 3 2010 850 858
-
(2010)
Pattern Recognition
, vol.43
, Issue.3
, pp. 850-858
-
-
Bruneau, P.1
Gelgon, M.2
Picarougne, F.3
-
30
-
-
84867186048
-
Variational inference for Dirichlet process mixtures
-
D.M. Blei, M.I. Jordan Variational inference for Dirichlet process mixtures Bayesian Analysis 1 1 2006 121 144
-
(2006)
Bayesian Analysis
, vol.1
, Issue.1
, pp. 121-144
-
-
Blei, D.M.1
Jordan, M.I.2
-
33
-
-
0004059061
-
-
MIT Press, Cambridge, MA
-
M. Opper, D. Saad (Eds.), Advanced Mean Field Methods: Theory and Practice, MIT Press, Cambridge, MA, 2001.
-
(2001)
Advanced Mean Field Methods: Theory and Practice
-
-
Opper, M.1
Saad, D.2
-
34
-
-
79955422307
-
The Students t-hidden Markov model with truncated stick-breaking priors
-
X. Wei, C. Li The Students t-hidden Markov model with truncated stick-breaking priors IEEE Signal Processing Letters 18 6 2011 355 358
-
(2011)
IEEE Signal Processing Letters
, vol.18
, Issue.6
, pp. 355-358
-
-
Wei, X.1
Li, C.2
-
35
-
-
70549109507
-
Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models
-
P.D. McNicholas, T.B. Murphy, A.F. McDaid, D. Frost Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models Computational Statistics and Data Analysis 54 3 2010 711 723
-
(2010)
Computational Statistics and Data Analysis
, vol.54
, Issue.3
, pp. 711-723
-
-
McNicholas, P.D.1
Murphy, T.B.2
McDaid, A.F.3
Frost, D.4
-
36
-
-
84864283448
-
-
Institute of Mathematical Statistics, Hayward, CA
-
B.G. Lindsay, Mixture models: theory, geometry and applications, Vol. 5 of NSF-CBMS Regional Conference Series in Probability and Statistics, Institute of Mathematical Statistics, Hayward, CA, 1995.
-
(1995)
Mixture Models: Theory, Geometry and Applications, Vol. 5 of NSF-CBMS Regional Conference Series in Probability and Statistics
-
-
Lindsay, B.G.1
-
37
-
-
0001730744
-
The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family
-
D. Bohning, E. Dietz, R. Schaub, P. Schlattmann, B.G. Lindsay The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family Annals of the Institute of Statistical Mathematics 46 2 1994 373 388
-
(1994)
Annals of the Institute of Statistical Mathematics
, vol.46
, Issue.2
, pp. 373-388
-
-
Bohning, D.1
Dietz, E.2
Schaub, R.3
Schlattmann, P.4
Lindsay, B.G.5
-
40
-
-
19044399684
-
Classification, subtype discovery, prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling
-
E.J. Yeoh Classification, subtype discovery, prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling Cancer Cell 1 2 2002 133 143
-
(2002)
Cancer Cell
, vol.1
, Issue.2
, pp. 133-143
-
-
Yeoh, E.J.1
-
41
-
-
0036203115
-
A mixture model-based approach to the clustering of microarray expression data
-
G.J. McLachlan, R.W. Bean, D. Peel A mixture model-based approach to the clustering of microarray expression data Bioinformatics 18 3 2002 413 422
-
(2002)
Bioinformatics
, vol.18
, Issue.3
, pp. 413-422
-
-
McLachlan, G.J.1
Bean, R.W.2
Peel, D.3
-
42
-
-
36948999941
-
-
University of California, Department of Information and Computer Science
-
A. Asuncion, D.J. Newman, UCI Machine Learning Repository [ 〈 http://www.ics.uci.edu/∼mlearn/MLRepository.html 〉 ]. University of California, Department of Information and Computer Science, 2007.
-
(2007)
UCI Machine Learning Repository
-
-
Asuncion, A.1
Newman, D.J.2
|