Clustering acoustic emission signals by mixing two stages dimension reduction and nonparametric approaches.
Oumar Issiaka TraorePaul CristiniNathalie Favretto-CristiniLaurent PanteraPhilippe VieuSylvie Viguier-PlaPublished in: Comput. Stat. (2019)
Keyphrases
- dimension reduction
- acoustic emission
- high dimensional data analysis
- high dimensional data
- high dimensionality
- unsupervised learning
- condition monitoring
- cluster analysis
- high dimensional
- principal component analysis
- feature extraction
- clustering algorithm
- singular value decomposition
- clustering method
- linear discriminant analysis
- dimensionality reduction
- low dimensional
- high dimensional problems
- density estimation
- manifold learning
- machine learning
- visual information
- pattern recognition
- feature selection
- expert systems
- feature space
- image processing
- neural network
- sparse metric learning