Accelerating Fuzzy-C Means Using an Estimated Subsample Size.

Parker JK, Hall LO

DOI: 10.1109/tfuzz.2013.2286993
Published: 2014 Oct
Container: IEEE transactions on fuzzy systems : a publication of the IEEE Neural Networks Council
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.1109/tfuzz.2013.2286993,
  title = {Accelerating Fuzzy-C Means Using an Estimated Subsample Size.},
  author = {Parker JK and Hall LO},
  year = {2014},
  journal = {IEEE transactions on fuzzy systems : a publication of the IEEE Neural Networks Council},
  doi = {10.1109/tfuzz.2013.2286993},
  url = {https://doi.org/10.1109/tfuzz.2013.2286993}
}

RIS

TY  - JOUR
TI  - Accelerating Fuzzy-C Means Using an Estimated Subsample Size.
AU  - Parker JK
AU  - Hall LO
PY  - 2014
JO  - IEEE transactions on fuzzy systems : a publication of the IEEE Neural Networks Council
DO  - 10.1109/tfuzz.2013.2286993
UR  - https://doi.org/10.1109/tfuzz.2013.2286993
ER  -

APA

JK, P., & LO, H. (2014). Accelerating Fuzzy-C Means Using an Estimated Subsample Size.. IEEE transactions on fuzzy systems : a publication of the IEEE Neural Networks Council. https://doi.org/10.1109/tfuzz.2013.2286993

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pubmed · retrieved 2026-09-25T08:26:46.131Z