Two-dimensional data partitioning for non-negative matrix tri-factorization

As a two-sided clustering and dimensionality reduction paradigm, Non-negative Matrix Tri-Factorization (NMTF) has attracted much attention in machine learning and data mining researchers due to its excellent performance and reliable theoretical support. Unlike Non-negative Matrix Factorization (NMF)...

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Vydané v:	Big data research Ročník 37; s. 100473
Hlavní autori:	Yan, Jiaxing, Liu, Hai, Lei, Zhiqi, Rao, Yanghui, Liu, Guan, Xie, Haoran, Tao, Xiaohui, Wang, Fu Lee
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 28.08.2024
Predmet:	2-Dimensional data partitioning Non-negative matrix tri-factorization Text co-clustering 2-Dimensional data partitioning Text co-clustering Non-negative matrix tri-factorization
ISSN:	2214-5796, 2214-580X
On-line prístup:	Získať plný text
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