Feature Extraction Using Sparse Kernel Non-Negative Matrix Factorization for Rolling Element Bearing Diagnosis.
Lin LiangXingyun DingFei LiuYuanming ChenHaobin WenPublished in: Sensors (2021)
Keyphrases
- negative matrix factorization
- sparse kernel
- feature extraction
- principal component analysis
- matrix factorization
- document clustering
- fault diagnosis
- sparse representation
- dimensionality reduction
- feature vectors
- image processing
- large margin classifiers
- face recognition
- spectral clustering
- feature selection
- multiple kernel learning
- neural network
- feature set
- support vector
- image classification
- feature space
- multiscale
- computer vision
- clustering method
- linear combination
- data sets
- support vector machine