Cross-domain, soft-partition clustering with diversity measure and knowledge reference

作者：

Highlights：

• The novel QWGSD-FC model is designed for soft-partition clustering.

• Two cross-domain clustering methods: TI-/TII-KT-CM are subsequently proposed.

• TI-/TII-KT-CM are superior to or competitive with other existing methods.

• The convergences of both TI-KT-CM and TII-KT-CM are proved.

摘要

•The novel QWGSD-FC model is designed for soft-partition clustering.•Two cross-domain clustering methods: TI-/TII-KT-CM are subsequently proposed.•TI-/TII-KT-CM are superior to or competitive with other existing methods.•The convergences of both TI-KT-CM and TII-KT-CM are proved.

论文关键词：Soft-partition clustering,Fuzzy c-means,Maximum entropy,Diversity index,Transfer learning,Cross-domain clustering

论文评审过程：Received 22 December 2014, Revised 6 August 2015, Accepted 11 August 2015, Available online 22 August 2015, Version of Record 5 November 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.08.009