A weighted fuzzy C-means clustering method with density peak for anomaly detection in IoT-enabled manufacturing process.
Shaohua HuangYu GuoNengjun YangShanshan ZhaDaoyuan LiuWeiguang FangPublished in: J. Intell. Manuf. (2021)
Keyphrases
- anomaly detection
- fuzzy c means
- clustering method
- manufacturing process
- possibilistic c means
- process control
- quality control
- fuzzy c means algorithm
- fuzzy c means clustering
- manufacturing systems
- control system
- clustering algorithm
- cluster analysis
- spectral clustering
- fuzzy clustering method
- product design
- k means
- discrete event
- clustering analysis
- subspace clustering
- hierarchical clustering
- document clustering
- fuzzy clustering
- similarity measure
- decision making
- density function
- learning algorithm
- clustering result
- neural network