A robust unsupervised consensus control chart pattern recognition framework
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.
control chart pattern recognition consensus clustering unsupervised learning k-means spectral clustering graph partitioning