GOLFS: feature selection via combining both global and local information for high dimensional clustering.

MLA

Xing, Zhaoyu, et al. “GOLFS: Feature Selection via Combining Both Global and Local Information for High Dimensional Clustering.” Computational Statistics, vol. 39, no. 5, July 2024, pp. 2651–75. EBSCOhost, https://doi.org/10.1007/s00180-023-01393-x.

APA

Xing, Z., Wan, Y., Wen, J., & Zhong, W. (2024). GOLFS: feature selection via combining both global and local information for high dimensional clustering. Computational Statistics, 39(5), 2651–2675. https://doi.org/10.1007/s00180-023-01393-x

Chicago

Xing, Zhaoyu, Yang Wan, Juan Wen, and Wei Zhong. 2024. “GOLFS: Feature Selection via Combining Both Global and Local Information for High Dimensional Clustering.” Computational Statistics 39 (5): 2651–75. doi:10.1007/s00180-023-01393-x.