A robust unsupervised consensus control chart pattern recognition framework

作者：

Highlights：

• We propose an unsupervised consensus approach for the control chart pattern recognition problem.

• We provide computational evidence of consensus clustering robustness.

• We provide motivation for further research on unsupervised learning for the CCPR problem.

摘要

•We propose an unsupervised consensus approach for the control chart pattern recognition problem.•We provide computational evidence of consensus clustering robustness.•We provide motivation for further research on unsupervised learning for the CCPR problem.

论文关键词：Consensus clustering,Unsupervised learning,Control chart pattern recognition,k-Means,Spectral clustering,Graph partitioning

论文评审过程：Available online 4 May 2015, Version of Record 26 May 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.04.069