[1] |
FORTUNATO S. Community detection in graphs[J]. Physics Report, 2010, 486(3): 75-174.
|
[2] |
HOLLAND P W, LASKEY K B, LEINHARDT S. Stochastic blockmodels: First steps[J]. Social Networks, 1983, 5(2): 109-137.
|
[3] |
SNIJDERS T A B, NOWECKI K. Estimation and prediction for stochastic blockmodels for graphs with latent block structure[J]. Journal of. Classification, 1997, 14 (1): 75-100.S
|
[4] |
DAUDIN J J, PICARD F, ROBIN S. A mixture model for random graphs[J]. StatISTICS and Computing, 2008,18(2): 173-183.
|
[5] |
SHEN W H, CHENG X Q, GUO J F. Exploring the structural regularities in networks[EB/OL]. [2011-05-04].https://doi.org/10.1103/PhysRevE.84.056111.
|
[6] |
CHAI B F, YU J, JIA C Y, et al. Combining a popularity-productivity stochastic block model with a discriminative-content model for general structure detection[J]. Physical Review E ,2013, 88 (1): 012807.
|
[7] |
LATOUCHE P, BIRMEL E, AMBROISE C. Variational Bayesian inference and complexity control for stochastic block models[J]. Statistical Modelling, 2012,12(1): 93-115.
|
[8] |
DECELLE A, KRZAKALA F, MOORE C, et al. Inference and phase transitions in the detection of modules in sparse networks[J]. Physical Review Letters, 2011, 107(6): 065701.
|
[9] |
YANG B, HE H, HU X. Detecting community structure in networks via consensus dynamics and spatial[J] Statistical Mechanics and its Applications, 2017, 483(1): 156-170.
|
[10] |
UEDA N, NAKANO R. Deterministic annealing em algorithm[J]. Neural Network, 1998, 11(2): 271-282.
|
[11] |
NAIM I, GILDEA D. Convergence of the EM algorithm for Gaussian mixtures with unbalanced mixing coefficient[C]// Proceedings of the 29th International Conference on Machine Learning. Edinburgh, UK: ACM Press, 2012: 1427-1431.
|
[12] |
VON LUXBURG U, BEN-DAVID S. Towards a statistical theory of clustering[M]// Pascal Workshop on Statistics and Optimization of Clustering, 2005.
|
[13] |
XU L, JORDAN M I. On convergence properties of the EM algorithm for Gaussian mixtures[J] .Neural Computation, 1996, 8 (1): 129-151.
|
[14] |
XIONG H, SHANG P. Weighted multifractal cross-correlation analysis based on Shannon entropy[J]. Science and Numerical Simulation, 2016, 30(1): 268-283.
|
[15] |
CHAOMURILIGE C, YU J, YANG M S. Analysis of parameter selection for Gustafson-Kessel fuzzy clustering using Jacobian matrix[J]. IEEE Transactions on Fuzzy Systems, 2015, 23(6): 2329-2342.
|
[16] |
WU C F J. On the convergence properties of the EM algorithm[J]. Annual Statistics, 1983, 11(1): 95-103.
|
[17] |
陈宇,许莉薇,江露,等. 成像流型辨识算法[J]. 哈尔滨理工大学学报,2014, 19(4): 111-116.CHEN Y, XU L W, JIANG L, et al. Electrical capacitance tomography identification algorithm based on GMM model[J]. Journal of Harbin University of Science and Technology, 2014, 19(4): 111-116.
|
[18] |
MA J W, FU S Q. On the correct convergence of the EM algorithm for Gaussian mixtures[J]. Pattern Recognition, 2005, 38(12): 2602-2611.
|
[19] |
OLVER P J. Lecture notes on numerical analysis[EB/OL]. [2008-05-18]. http://www.math.umn.edu/olver/num.html.)
|
[1] |
FORTUNATO S. Community detection in graphs[J]. Physics Report, 2010, 486(3): 75-174.
|
[2] |
HOLLAND P W, LASKEY K B, LEINHARDT S. Stochastic blockmodels: First steps[J]. Social Networks, 1983, 5(2): 109-137.
|
[3] |
SNIJDERS T A B, NOWECKI K. Estimation and prediction for stochastic blockmodels for graphs with latent block structure[J]. Journal of. Classification, 1997, 14 (1): 75-100.S
|
[4] |
DAUDIN J J, PICARD F, ROBIN S. A mixture model for random graphs[J]. StatISTICS and Computing, 2008,18(2): 173-183.
|
[5] |
SHEN W H, CHENG X Q, GUO J F. Exploring the structural regularities in networks[EB/OL]. [2011-05-04].https://doi.org/10.1103/PhysRevE.84.056111.
|
[6] |
CHAI B F, YU J, JIA C Y, et al. Combining a popularity-productivity stochastic block model with a discriminative-content model for general structure detection[J]. Physical Review E ,2013, 88 (1): 012807.
|
[7] |
LATOUCHE P, BIRMEL E, AMBROISE C. Variational Bayesian inference and complexity control for stochastic block models[J]. Statistical Modelling, 2012,12(1): 93-115.
|
[8] |
DECELLE A, KRZAKALA F, MOORE C, et al. Inference and phase transitions in the detection of modules in sparse networks[J]. Physical Review Letters, 2011, 107(6): 065701.
|
[9] |
YANG B, HE H, HU X. Detecting community structure in networks via consensus dynamics and spatial[J] Statistical Mechanics and its Applications, 2017, 483(1): 156-170.
|
[10] |
UEDA N, NAKANO R. Deterministic annealing em algorithm[J]. Neural Network, 1998, 11(2): 271-282.
|
[11] |
NAIM I, GILDEA D. Convergence of the EM algorithm for Gaussian mixtures with unbalanced mixing coefficient[C]// Proceedings of the 29th International Conference on Machine Learning. Edinburgh, UK: ACM Press, 2012: 1427-1431.
|
[12] |
VON LUXBURG U, BEN-DAVID S. Towards a statistical theory of clustering[M]// Pascal Workshop on Statistics and Optimization of Clustering, 2005.
|
[13] |
XU L, JORDAN M I. On convergence properties of the EM algorithm for Gaussian mixtures[J] .Neural Computation, 1996, 8 (1): 129-151.
|
[14] |
XIONG H, SHANG P. Weighted multifractal cross-correlation analysis based on Shannon entropy[J]. Science and Numerical Simulation, 2016, 30(1): 268-283.
|
[15] |
CHAOMURILIGE C, YU J, YANG M S. Analysis of parameter selection for Gustafson-Kessel fuzzy clustering using Jacobian matrix[J]. IEEE Transactions on Fuzzy Systems, 2015, 23(6): 2329-2342.
|
[16] |
WU C F J. On the convergence properties of the EM algorithm[J]. Annual Statistics, 1983, 11(1): 95-103.
|
[17] |
陈宇,许莉薇,江露,等. 成像流型辨识算法[J]. 哈尔滨理工大学学报,2014, 19(4): 111-116.CHEN Y, XU L W, JIANG L, et al. Electrical capacitance tomography identification algorithm based on GMM model[J]. Journal of Harbin University of Science and Technology, 2014, 19(4): 111-116.
|
[18] |
MA J W, FU S Q. On the correct convergence of the EM algorithm for Gaussian mixtures[J]. Pattern Recognition, 2005, 38(12): 2602-2611.
|
[19] |
OLVER P J. Lecture notes on numerical analysis[EB/OL]. [2008-05-18]. http://www.math.umn.edu/olver/num.html.)
|