Cite
Linear convergence of the subspace constrained mean shift algorithm: from Euclidean to directional data.
MLA
Zhang, Yikun, and Yen-Chi Chen. “Linear Convergence of the Subspace Constrained Mean Shift Algorithm: From Euclidean to Directional Data.” Information & Inference: A Journal of the IMA, vol. 12, no. 1, Mar. 2023, pp. 210–311. EBSCOhost, https://doi.org/10.1093/imaiai/iaac005.
APA
Zhang, Y., & Chen, Y.-C. (2023). Linear convergence of the subspace constrained mean shift algorithm: from Euclidean to directional data. Information & Inference: A Journal of the IMA, 12(1), 210–311. https://doi.org/10.1093/imaiai/iaac005
Chicago
Zhang, Yikun, and Yen-Chi Chen. 2023. “Linear Convergence of the Subspace Constrained Mean Shift Algorithm: From Euclidean to Directional Data.” Information & Inference: A Journal of the IMA 12 (1): 210–311. doi:10.1093/imaiai/iaac005.