Cite

A multi-granularity locally optimal prototype-based approach for classification.

MLA

Gu, Xiaowei, and Miqing Li. “A Multi-Granularity Locally Optimal Prototype-Based Approach for Classification.” Information Sciences, vol. 569, Aug. 2021, pp. 157–83. EBSCOhost, https://doi.org/10.1016/j.ins.2021.04.039.



APA

Gu, X., & Li, M. (2021). A multi-granularity locally optimal prototype-based approach for classification. Information Sciences, 569, 157–183. https://doi.org/10.1016/j.ins.2021.04.039



Chicago

Gu, Xiaowei, and Miqing Li. 2021. “A Multi-Granularity Locally Optimal Prototype-Based Approach for Classification.” Information Sciences 569 (August): 157–83. doi:10.1016/j.ins.2021.04.039.