Multi-view clustering: A survey | Zendy

Yan Yang | Zendy; Hao Wang | Zendy

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Multi-view clustering: A survey

Author(s) -

Yan Yang,

Hao Wang

Publication year - 2018

Publication title -

big data mining and analytics

Language(s) - English

Resource type - Journals

ISSN - 2096-0654

DOI - 10.26599/bdma.2018.9020003

Subject(s) - cluster analysis , computer science , consensus clustering , exploit , artificial intelligence , graph , data mining , correlation clustering , conceptual clustering , fuzzy clustering , spectral clustering , clustering high dimensional data , big data , machine learning , cure data clustering algorithm , theoretical computer science , computer security

In the big data era, the data are generated from different sources or observed from different views. These data are referred to as multi-view data. Unleashing the power of knowledge in multi-view data is very important in big data mining and analysis. This calls for advanced techniques that consider the diversity of different views, while fusing these data. Multi-view Clustering (MvC) has attracte...

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