TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering

作者：

Highlights：

• A co-clustering method TWCC was proposed, in which two types of weights are automatically computed.

• It’s the first two-way subspace weighting partitional co-clustering method.

• It can simultaneously weight data from two ways for co-clustering.

• Experimental results on both synthetic and real-life data sets were presented to verify TWCC.

摘要

•A co-clustering method TWCC was proposed, in which two types of weights are automatically computed.•It’s the first two-way subspace weighting partitional co-clustering method.•It can simultaneously weight data from two ways for co-clustering.•Experimental results on both synthetic and real-life data sets were presented to verify TWCC.

论文关键词：Data mining,Co-clustering,Subspace clustering,Variable weighting

论文评审过程：Received 6 March 2017, Revised 22 September 2017, Accepted 18 October 2017, Available online 20 October 2017, Version of Record 1 December 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.10.026