Sequential learning of principal curves: summarizing data streams on the fly

HIGHLIGHTS

• who: Le Li and Benjamin Guedj from the Department of Computer Science, University College London, London WC V LJ, UK have published the paper: Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly, in the Journal: Entropy 2021, 23, 1534. of /2021/
• what: A principal curve acts as a nonlinear generalization of PCA and this paper proposes a novel algorithm to automatically and sequentially learn principal curves from data streams. The authors show that the procedure is supported by regret bounds with optimal sublinear remainder terms. Rather, the authors propose a novel algorithm . . .
  

   

  

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