Li, Feijiang https://orcid.org/0000-0003-3730-9602
Qian, Yuhua
Wang, Jieting
Dang, Chuangyin https://orcid.org/0000-0003-4731-4616
Jing, Liping
Funding for this research was provided by:
National Key R&D Program of China (2018YFB1004300)
National Natural Science Foundation of China (61802238)
National Natural Science Foundation of China (61672332)
National Natural Science Foundation of China (61432011)
National Natural Science Foundation of China (U1435212)
National Natural Science Foundation of China (61773050)
National Natural Science Foundation of China (61872226)
National Natural Science Foundation of China (61802238)
National Natural Science Foundation of China (618822601)
Program for the Outstanding Innovative Teams of Higher Learning Institutions of Shanxi
Program for the San Jin Young Scholars of Shanxi
Natural Science Foundation of Shanxi Province (201701D121052)
Innovation Program for Postgraduate Education of Shanxi (2018BY005)
Hong Kong SAR Government (CityU: 101113)
This article is maintained by: Elsevier
Article Title: Clustering ensemble based on sample's stability
Journal Title: Artificial Intelligence
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.artint.2018.12.007
Content Type: article
Copyright: © 2019 Elsevier B.V.