A hybrid approach for text document clustering using Jaya optimization algorithm

作者：

Highlights：

• Hybrid Jaya optimization is proposed for text clustering problem.

• Silhouette index is used to measure the quality of a candidate solution.

• Crossover and mutation strategies enhance the global search ability.

• The proposed approach is successfully evaluated on five well known datasets.

摘要

•Hybrid Jaya optimization is proposed for text clustering problem.•Silhouette index is used to measure the quality of a candidate solution.•Crossover and mutation strategies enhance the global search ability.•The proposed approach is successfully evaluated on five well known datasets.

论文关键词：Document clustering,Jaya optimization,Cosine similarity,Crossover,Mutation

论文评审过程：Received 19 June 2020, Revised 18 September 2020, Accepted 11 April 2021, Available online 16 April 2021, Version of Record 29 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115040