Scholars@Duke

Achieving Exact Cluster Recovery Threshold via Semidefinite Programming: Extensions

Publication ,  Journal Article
Hajek, B; Wu, Y; Xu, J
Published in: IEEE Transactions on Information Theory
October 2016
Published version (DOI) Publisher Link

Duke Scholars

Jiaming Xu
Author Jiaming Xu Fuqua School of Business

Published In

IEEE Transactions on Information Theory

DOI

10.1109/tit.2016.2594812

EISSN

1557-9654

ISSN

0018-9448

Publication Date

October 2016

Volume

62

Issue

10

Start / End Page

5918 / 5937

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Related Subject Headings

  • Networking & Telecommunications
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Hajek, B., Wu, Y., & Xu, J. (2016). Achieving Exact Cluster Recovery Threshold via Semidefinite Programming: Extensions. IEEE Transactions on Information Theory, 62(10), 5918–5937. https://doi.org/10.1109/tit.2016.2594812
Hajek, Bruce, Yihong Wu, and Jiaming Xu. “Achieving Exact Cluster Recovery Threshold via Semidefinite Programming: Extensions.” IEEE Transactions on Information Theory 62, no. 10 (October 2016): 5918–37. https://doi.org/10.1109/tit.2016.2594812.
Hajek B, Wu Y, Xu J. Achieving Exact Cluster Recovery Threshold via Semidefinite Programming: Extensions. IEEE Transactions on Information Theory. 2016 Oct;62(10):5918–37.
Hajek, Bruce, et al. “Achieving Exact Cluster Recovery Threshold via Semidefinite Programming: Extensions.” IEEE Transactions on Information Theory, vol. 62, no. 10, Institute of Electrical and Electronics Engineers (IEEE), Oct. 2016, pp. 5918–37. Crossref, doi:10.1109/tit.2016.2594812.
Hajek B, Wu Y, Xu J. Achieving Exact Cluster Recovery Threshold via Semidefinite Programming: Extensions. IEEE Transactions on Information Theory. Institute of Electrical and Electronics Engineers (IEEE); 2016 Oct;62(10):5918–5937.

Published In

IEEE Transactions on Information Theory

DOI

10.1109/tit.2016.2594812

EISSN

1557-9654

ISSN

0018-9448

Publication Date

October 2016

Volume

62

Issue

10

Start / End Page

5918 / 5937

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Related Subject Headings

  • Networking & Telecommunications
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing