CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering.

Cheng W, Guo Z, Zhang X, Wang W

DOI: 10.1145/2903147
Published: 2016 Jul
Container: ACM transactions on knowledge discovery from data
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1145/2903147,
  title = {CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering.},
  author = {Cheng W and Guo Z and Zhang X and Wang W},
  year = {2016},
  journal = {ACM transactions on knowledge discovery from data},
  doi = {10.1145/2903147},
  url = {https://doi.org/10.1145/2903147}
}

RIS

TY  - JOUR
TI  - CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering.
AU  - Cheng W
AU  - Guo Z
AU  - Zhang X
AU  - Wang W
PY  - 2016
JO  - ACM transactions on knowledge discovery from data
DO  - 10.1145/2903147
UR  - https://doi.org/10.1145/2903147
ER  -

APA

W, C., Z, G., X, Z., & W, W. (2016). CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering.. ACM transactions on knowledge discovery from data. https://doi.org/10.1145/2903147

Source records

pubmed · retrieved 2026-09-25T18:50:13.245Z
europe-pmc · retrieved 2026-09-25T18:50:13.231Z