Publication
, Journal Article
Cheng, X; Wu, H-T
Published in: Information and Inference: A Journal of the IMA
September 8, 2022
Information and Inference: A Journal of the IMA
2049-8772
September 8, 2022
11
3
889 / 957
Oxford University Press (OUP)
APA
Chicago
ICMJE
MLA
NLM
Cheng, X., & Wu, H.-T. (2022). Convergence of graph Laplacian with kNN self-tuned kernels. Information and Inference: A Journal of the IMA, 11(3), 889–957. https://doi.org/10.1093/imaiai/iaab019
Cheng, Xiuyuan, and Hau-Tieng Wu. “Convergence of graph Laplacian with kNN self-tuned kernels.” Information and Inference: A Journal of the IMA 11, no. 3 (September 8, 2022): 889–957. https://doi.org/10.1093/imaiai/iaab019.
Cheng X, Wu H-T. Convergence of graph Laplacian with kNN self-tuned kernels. Information and Inference: A Journal of the IMA. 2022 Sep 8;11(3):889–957.
Cheng, Xiuyuan, and Hau-Tieng Wu. “Convergence of graph Laplacian with kNN self-tuned kernels.” Information and Inference: A Journal of the IMA, vol. 11, no. 3, Oxford University Press (OUP), Sept. 2022, pp. 889–957. Crossref, doi:10.1093/imaiai/iaab019.
Cheng X, Wu H-T. Convergence of graph Laplacian with kNN self-tuned kernels. Information and Inference: A Journal of the IMA. Oxford University Press (OUP); 2022 Sep 8;11(3):889–957.
Information and Inference: A Journal of the IMA
2049-8772
September 8, 2022
11
3
889 / 957
Oxford University Press (OUP)