Quantitative evaluation of internal cluster validation indices using binary data sets

Naghmeh Pakgohar, Attila Lengyel, Zoltán Botta‐Dukát

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DOI: 10.1111/jvs.13310
Published: 2024-09
Container: Journal of Vegetation Science
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1111/jvs.13310,
  title = {Quantitative evaluation of internal cluster validation indices using binary data sets},
  author = {Naghmeh Pakgohar and Attila Lengyel and Zoltán Botta‐Dukát},
  year = {2024},
  journal = {Journal of Vegetation Science},
  doi = {10.1111/jvs.13310},
  url = {https://doi.org/10.1111/jvs.13310}
}

RIS

TY  - JOUR
TI  - Quantitative evaluation of internal cluster validation indices using binary data sets
AU  - Naghmeh Pakgohar
AU  - Attila Lengyel
AU  - Zoltán Botta‐Dukát
PY  - 2024
JO  - Journal of Vegetation Science
DO  - 10.1111/jvs.13310
UR  - https://doi.org/10.1111/jvs.13310
ER  -

APA

Pakgohar, N., Lengyel, A., & Botta‐Dukát, Z. (2024). Quantitative evaluation of internal cluster validation indices using binary data sets. Journal of Vegetation Science. https://doi.org/10.1111/jvs.13310

Source records

crossref · retrieved 2026-09-25T12:04:27.411Z