Evaluation of web service clustering using Dirichlet Multinomial Mixture model based approach for Dimensionality Reduction in service representation

作者：

Highlights：

• Investigate Topic modeling techniques for dimensionality reduction in web service

• The proposal of DMM Model based Approach to overcome short text problems

• Apply clustering algorithms to group similar services into same domain

• Performance of proposed methodology is validated using standard evaluation criteria

摘要

•Investigate Topic modeling techniques for dimensionality reduction in web service•The proposal of DMM Model based Approach to overcome short text problems•Apply clustering algorithms to group similar services into same domain•Performance of proposed methodology is validated using standard evaluation criteria

论文关键词：Web service clustering,Dirichlet Multinomial Mixture (DMM) model,Latent Dirichlet Allocation (LDA),Topic modeling techniques,Clustering techniques

论文评审过程：Received 7 January 2020, Revised 4 March 2020, Accepted 5 March 2020, Available online 31 March 2020, Version of Record 31 March 2020.

论文官网地址：https://doi.org/10.1016/j.ipm.2020.102238