K-Means clustering outsourcing scheme based on sparse matrix transformation and bounded random perturbation
Papers|更新时间:2026-02-10
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K-Means clustering outsourcing scheme based on sparse matrix transformation and bounded random perturbation
Journal on CommunicationsVol. 47, Issue 1, Pages: 74-90(2026)
作者机构:
1.哈尔滨工程大学计算机科学与技术学院,黑龙江 哈尔滨 150001
2.海南师范大学数学与统计学院,海南 海口 571158
作者简介:
基金信息:
The National Natural Science Foundation of China(U22A2036;U21B2019;62272127;62572144);The Natural Science Foundation of Heilongjiang(TD2022F001;LH2024F036);The Natural Science Foundation High-level Talents of Hainan(622RC672)
Zhao Wei,Tan Jingwen,Wang Huanran,et al.K-Means clustering outsourcing scheme based on sparse matrix transformation and bounded random perturbation[J].Journal on Communications,2026,47(01):74-90.
Zhao Wei,Tan Jingwen,Wang Huanran,et al.K-Means clustering outsourcing scheme based on sparse matrix transformation and bounded random perturbation[J].Journal on Communications,2026,47(01):74-90. DOI: 10.11959/j.issn.1000-436x.2026009.
K-Means clustering outsourcing scheme based on sparse matrix transformation and bounded random perturbation