Linear convergence of the subspace constrained mean shift algorithm: from Euclidean to directional data.

Zhang Y, Chen YC

Open source

DOI
10.1093/imaiai/iaac005
Published
2023 Mar
Container
Information and inference : a journal of the IMA
Publisher
arXiv
Open access
yes

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BibTeX

@article{allodium:10.1093/imaiai/iaac005,
  title = {Linear convergence of the subspace constrained mean shift algorithm: from Euclidean to directional data.},
  author = {Zhang Y and Chen YC},
  year = {2023},
  journal = {Information and inference : a journal of the IMA},
  doi = {10.1093/imaiai/iaac005},
  url = {https://doi.org/10.1093/imaiai/iaac005}
}

RIS

TY  - JOUR
TI  - Linear convergence of the subspace constrained mean shift algorithm: from Euclidean to directional data.
AU  - Zhang Y
AU  - Chen YC
PY  - 2023
JO  - Information and inference : a journal of the IMA
DO  - 10.1093/imaiai/iaac005
UR  - https://doi.org/10.1093/imaiai/iaac005
ER  - 

APA

Y, Z., & YC, C. (2023). Linear convergence of the subspace constrained mean shift algorithm: from Euclidean to directional data.. Information and inference : a journal of the IMA. https://doi.org/10.1093/imaiai/iaac005

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