A gear fault diagnosis method based on manifold semi-supervised K-means clustering algorithm.
Wenxing ZhangPengfei ZhaoJianguo WangWenjing LiuPublished in: AIIPCC (2019)
Keyphrases
- semi supervised
- manifold learning
- manifold regularization
- semi supervised learning
- diffusion maps
- graph embedding
- labeled data
- semi supervised classification
- pairwise
- manifold structure
- unlabeled data
- multi view
- generative topographic mapping
- supervised learning
- subspace learning
- clustering algorithm
- labeled and unlabeled data
- unsupervised learning
- active learning
- label propagation
- fault diagnosis
- co training
- low rank
- k means
- nonlinear dimensionality reduction
- semi supervised clustering
- low dimensional
- pairwise constraints
- labeled examples
- geodesic distance
- hierarchical clustering
- constrained clustering
- euclidean space
- kernel machines
- label information
- high dimensional
- training data
- image segmentation