Journal of Jishou University(Natural Sciences Edition)

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Reader Behavior Analysis Based on Gray Wolf Optimization Clustering Algorithm

JIANG Yichu   

  1. (Hunan Polytechnic of Environment and Biology, Hengyang 421001, Hunan China)
  • Online:2020-07-25 Published:2020-10-27


This paper proposes a reader behavior analysis algorithm based on a gray wolf optimization clustering algorithm through analyzing the advantages and disadvantages of current reader behavior analysis algorithms at home and abroad. First, the gray wolf optimization algorithm automatically optimizes to find the optimal initial cluster center point of the fuzzy C-means clustering algorithm. It then makes an iterative calculation of the initial cluster center point to obtain the final clustering result. Through the analysis of the reader borrowing behavior data, it is verified that the gray wolf optimization clustering algorithm is superior to the ordinary clustering algorithm.

Key words: grey wolf optimization algorithm, fuzzy C-means clustering algorithm, reader behavior analysis

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