A robust and high-dimensional clustering algorithm based on feature weight and entropy

HIGHLIGHTS

• who: Xinzhi Du from the School of Computer Science and Technology, Anhui University of Technology, Ma`anshan, China have published the paper: A Robust and High-Dimensional Clustering Algorithm Based on Feature Weight and Entropy, in the Journal: Entropy 2023, 25, x FOR PEER REVIEW of /2023/
• what: __SECTION__ 5. Conclusions.
• how: Throughout the process a specific feature is given only one weight. This paper proposes an advanced FCM algorithm to handle high-dimensional sparse and noisy data to solve the flaws mentioned above. The performance of the proposed algorithm and other clustering . . .
  

   

  

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