Dual constraint based semi-supervised nonnegative matrix factorization for multi-view clustering

待确认 10 由 H 发布于 2026/5/14 9:54:10

DOI:10.1016/j.knosys.2025.114357
作者：Siyuan Peng , Zimeng Huangfu , Wenyun Xie , Zhijing Yang , Feiping Nie
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：Semi-supervised nonnegative matrix factorization (NMF) has attracted considerable attentions in multi-view clustering applications. However, existing semi-supervised methods only adopt eithe

应助信息

等待求助人确认

求助人未确认前，本求助不能再次应助。36小时后系统将自动确认应助成功。本求助将自动关闭。

1天前

lt2

202605141227063263272.pdf

1天前

Book学术机器人

2026/5/14 9:54:10 未找到该文献，机器人已退出，请等待人工下载

2026/5/14 9:54:10 Book学术AI机器人收到请求，开始寻找文献

2026/5/14 9:54:10 已向机器人发送请求

1天前

H 发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:ElsevierOzonation of drinking water: Part I. Oxidation kinetics and product formation