Integrated classification algorithm for unbalanced data streams based on joint nonnegative matrix factorization

HIGHLIGHTS

  • who: Jin, Li and Ruibo, Zhao from the Tencent Technology Company Limited, Beijing, China have published the research: Integrated Classification Algorithm for Unbalanced Data Streams Based on Joint Nonnegative Matrix Factorization, in the Journal: Wireless Communications and Mobile Computing of 13/06/2022
  • what: The aim of this paper is to study the unbalanced data flow integration classification algorithm based on joint nonnegative matrix factorization to solve the problem that the basic clustering results obtained from the original data set have some information loss thereby reducing the effective information in the integration stage. The research . . .

     

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