The stochastic topic block model for the clustering of vertices in networks with textual edges-Reference-Cited by-同舟云学术

The stochastic topic block model for the clustering of vertices in networks with textual edges

Published:2016-10-21 Issue:1 Volume:28 Page:11-31
ISSN:0960-3174
Container-title:Statistics and Computing
language:en
Short-container-title:Stat Comput

Author:

Bouveyron C.,Latouche P.,Zreik R.

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science

Link

http://link.springer.com/article/10.1007/s11222-016-9713-7/fulltext.html

Reference60 articles.

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3. Ambroise, C., Grasseau, G., Hoebeke, M., Latouche, P., Miele, V., Picard, F.: The mixer R package (version 1.8) (2010). http://cran.r-project.org/web/packages/mixer/

4. Bickel, P., Chen, A.: A nonparametric view of network models and newman-girvan and other modularities. Proc. Natl Acad. Sci. 106(50), 21068–21073 (2009)

5. Biernacki, C., Celeux, G., Govaert, G.: Assessing a mixture model for clustering with the integrated completed likelihood. IEEE Trans. Pattern Anal. Mach. Intel. 7, 719–725 (2000)

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