Multi-view Clustering with Complete Information-Reference-Cited by-同舟云学术

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Multi-view Clustering with Complete Information

Published:2018-12-07 Issue: Volume: Page:9-50
ISSN:1610-3947
Container-title:Learning Representation for Multi-View Data Analysis
language:
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Author:

Ding Zhengming,Zhao Handong,Fu Yun

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-00734-8_2

Reference85 articles.

1. Abdala DD, Wattuya P, Jiang X (2010) Ensemble clustering via random walker consensus strategy. In: ICPR, pp 1433–1436

2. Ahonen T, Hadid A, Pietikäinen M (2006) Face description with local binary patterns: application to face recognition. TPAMI 28(12):2037–2041

3. Andrew G, Arora R, Bilmes J, Livescu K (2013) Deep canonical correlation analysis. In: ICML, pp 1247–1255

4. Ayad H, Kamel MS (2008) Cumulative voting consensus method for partitions with variable number of clusters. IEEE Trans Pattern Anal Mach Intell 30(1):160–173

5. Bengio Y (2009) Learning deep architectures for AI. Found Trends Mach Learn 2(1):1–127

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GRAE: Graph Recurrent Autoencoder for Multi-view Graph Clustering;2021 4th International Conference on Algorithms, Computing and Artificial Intelligence;2021-12-22

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