A Survey on Multi-View Clustering

Understand

With advances in information acquisition technologies, multi-view data become ubiquitous.

• Multi-view learning has thus become more and more popular in machine learning and data mining fields.
• Multi-view unsupervised or semi-supervised learning, such as co-training, co-regularization has gained considerable attention.
• Although recently, multi-view clustering (MVC) methods have been developed rapidly, there has not been a survey to summarize and analyze the current progress.