A hash-based co-clustering algorithm for categorical data

作者：

Highlights：

• The proposal of a new Co-Clustering approach for categorical data.

• The proposed algorithm is scale linearly with the data size.

• The results show the quality of found clusters and a diverse set of applications for such approach.

摘要

•The proposal of a new Co-Clustering approach for categorical data.•The proposed algorithm is scale linearly with the data size.•The results show the quality of found clusters and a diverse set of applications for such approach.

论文关键词：Co-clustering,Categorical data,Data mining,Text mining,Biclustering

论文评审过程：Received 23 February 2015, Revised 16 July 2016, Accepted 17 July 2016, Available online 20 July 2016, Version of Record 25 July 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.07.024