A categorical data clustering framework on graph representation

作者：

Highlights：

• Present a new converted-based clustering framework for categorical data.

• Propose a graph-based representation method of categorical data.

• The representation can sufficiently reflect similarity of categorical values.

• Show the effectiveness of the new framework in the experiments.

摘要

•Present a new converted-based clustering framework for categorical data.•Propose a graph-based representation method of categorical data.•The representation can sufficiently reflect similarity of categorical values.•Show the effectiveness of the new framework in the experiments.

论文关键词：Cluster analysis,Categorical data clustering,Data representation,Graph embedding

论文评审过程：Received 3 July 2021, Revised 16 March 2022, Accepted 3 April 2022, Available online 5 April 2022, Version of Record 11 April 2022.

论文官网地址：https://doi.org/10.1016/j.patcog.2022.108694