Fast Continual Multi-View Clustering with Incomplete Views

Understand

Multi-view clustering (MVC) has gained broad attention owing to its capacity to exploit consistent and complementary information across views.

• This paper focuses on a challenging issue in MVC called the incomplete continual data problem (ICDP).
• In specific, most existing algorithms assume that views are available in advance and overlook the scenarios where data observations of views are accumulated over time.
• Due to privacy considerations or memory limitations, previous views cannot be stored in these situations.