Corrigendum to “Dealing with high dimensional multi-view data: A comprehensive review of non-negative matrix factorization approaches in data mining and machine learning” [Computer Science Review 58 (2025) 100788]

IF 17.5 1区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Computer Science Review Pub Date : 2026-02-01 Epub Date: 2025-10-18 DOI:10.1016/j.cosrev.2025.100841

Nafiseh Soleymani, Mohammad Hossein Moattar, Reza Sheibani

引用次数: 0

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“处理高维多视图数据：数据挖掘和机器学习中非负矩阵分解方法的全面回顾”的更正[计算机科学评论58 (2025)100788]

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer Science Review Computer Science-General Computer Science

CiteScore

32.70

自引率

0.00%

发文量

审稿时长

51 days

期刊介绍： Computer Science Review, a publication dedicated to research surveys and expository overviews of open problems in computer science, targets a broad audience within the field seeking comprehensive insights into the latest developments. The journal welcomes articles from various fields as long as their content impacts the advancement of computer science. In particular, articles that review the application of well-known Computer Science methods to other areas are in scope only if these articles advance the fundamental understanding of those methods.