Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning.
Fangchen YuRunze ZhaoZhan ShiYiwen LuJicong FanYicheng ZengJianfeng MaoWenye LiPublished in: NeurIPS (2023)
Keyphrases
- spectral clustering
- incomplete data
- learning algorithm
- pairwise
- learning bayesian networks
- image segmentation
- data sets
- learning tasks
- machine learning
- reinforcement learning
- kernel machines
- learning problems
- missing values
- constrained spectral clustering
- kernel pca
- kernel learning
- missing data
- clustering method
- linear combination
- em algorithm
- maximum likelihood
- data mining techniques
- k means
- object recognition
- bayesian networks