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