A novel semi-supervised consensus fuzzy clustering method for multi-view relational data

Hoang Thi Canh, Pham Huy Thong, Phung The Huan, Vu Thuy Trang, Nguyen Nhu Hieu, Nguyen Tien Phuong, Nguyen Nhu Son

Open source

DOI: 10.11591/ijece.v14i6.pp6883-6893
Published: 2024-12-01
Container: International Journal of Electrical and Computer Engineering (IJECE)
Publisher: Institute of Advanced Engineering and Science
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.11591/ijece.v14i6.pp6883-6893,
  title = {A novel semi-supervised consensus fuzzy clustering method for multi-view relational data},
  author = {Hoang Thi Canh and Pham Huy Thong and Phung The Huan and Vu Thuy Trang and Nguyen Nhu Hieu and Nguyen Tien Phuong and Nguyen Nhu Son},
  year = {2024},
  journal = {International Journal of Electrical and Computer Engineering (IJECE)},
  doi = {10.11591/ijece.v14i6.pp6883-6893},
  url = {https://doi.org/10.11591/ijece.v14i6.pp6883-6893}
}

RIS

TY  - JOUR
TI  - A novel semi-supervised consensus fuzzy clustering method for multi-view relational data
AU  - Hoang Thi Canh
AU  - Pham Huy Thong
AU  - Phung The Huan
AU  - Vu Thuy Trang
AU  - Nguyen Nhu Hieu
AU  - Nguyen Tien Phuong
AU  - Nguyen Nhu Son
PY  - 2024
JO  - International Journal of Electrical and Computer Engineering (IJECE)
DO  - 10.11591/ijece.v14i6.pp6883-6893
UR  - https://doi.org/10.11591/ijece.v14i6.pp6883-6893
ER  -

APA

Canh, H. T., Thong, P. H., Huan, P. T., Trang, V. T., Hieu, N. N., Phuong, N. T., & Son, N. N. (2024). A novel semi-supervised consensus fuzzy clustering method for multi-view relational data. International Journal of Electrical and Computer Engineering (IJECE). https://doi.org/10.11591/ijece.v14i6.pp6883-6893

Source records

crossref · retrieved 2026-09-25T16:46:12.357Z