Identifying the number of components in Gaussian mixture models using numerical algebraic geometry

Sara Shirinkam, Adel Alaeddini, Elizabeth Gross

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DOI: 10.1142/s0219498820502047
Published: 2019-10-21
Container: Journal of Algebra and Its Applications
Publisher: World Scientific Pub Co Pte Ltd
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1142/s0219498820502047,
  title = {Identifying the number of components in Gaussian mixture models using numerical algebraic geometry},
  author = {Sara Shirinkam and Adel Alaeddini and Elizabeth Gross},
  year = {2019},
  journal = {Journal of Algebra and Its Applications},
  doi = {10.1142/s0219498820502047},
  url = {https://doi.org/10.1142/s0219498820502047}
}

RIS

TY  - JOUR
TI  - Identifying the number of components in Gaussian mixture models using numerical algebraic geometry
AU  - Sara Shirinkam
AU  - Adel Alaeddini
AU  - Elizabeth Gross
PY  - 2019
JO  - Journal of Algebra and Its Applications
DO  - 10.1142/s0219498820502047
UR  - https://doi.org/10.1142/s0219498820502047
ER  -

APA

Shirinkam, S., Alaeddini, A., & Gross, E. (2019). Identifying the number of components in Gaussian mixture models using numerical algebraic geometry. Journal of Algebra and Its Applications. https://doi.org/10.1142/s0219498820502047

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crossref · retrieved 2026-09-25T13:51:58.702Z