Parallel multi-view concept clustering in distributed computing

Multi-view clustering (MvC) is an emerging task in data mining. It aims at partitioning the data sampled from multiple views. Although a great deal of research has been done, this task remains to be very challenging. We found an important problem in performing the MvC task. MvC needs large amounts o...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Neural computing & applications Ročník 32; číslo 10; s. 5621 - 5631
Hlavní autoři:	Wang, Hao, Yang, Yan, Zhang, Xiaobo, Peng, Bo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.05.2020 Springer Nature B.V
Témata:	Advances in Parallel and Distributed Computing for Neural Computing Artificial Intelligence Clustering Computational Biology/Bioinformatics Computational Science and Engineering Computer networks Computer Science Data mining Data Mining and Knowledge Discovery Distributed processing Factorization Image Processing and Computer Vision Machine learning Manifolds (mathematics) Probability and Statistics in Computer Science Representations Multi-view clustering Manifold learning Concept factorization Distributed computing
ISSN:	0941-0643, 1433-3058
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!