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On the scaled Rényi entropy and application

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  • Pengyue Yu
  • Yong Deng

Abstract

Rényi entropy has been widely used in many applications. However, the significance of the parameter α in Rényi entropy and how to determine the value of α is still an open issue. To explore the significance of α, a scaled Rényi entropy is proposed in this article, where α is a scaled constant. Based on the information dimension of mass function in a power set whose uncertainty is measured by Deng entropy, the scale of α in Rényi entropy of the probability distribution is determined. One numerical example is given to show its properties. The scaled Rényi entropy and Rényi entropy are then applied to the C 4.5 decision tree and active learning to compare the usefulness of scaled Rényi and Rényi entropy.

Suggested Citation

  • Pengyue Yu & Yong Deng, 2025. "On the scaled Rényi entropy and application," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 54(1), pages 84-97, January.
    • Handle: RePEc:taf:lstaxx:v:54:y:2025:i:1:p:84-97
    DOI: 10.1080/03610926.2024.2301986
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