Signal-Based Feature Extraction and SOM based Dimension Reduction in a Vibration Monitoring Microsystem.
Ingo JossaUwe MarschnerWolf-Joachim FischerPublished in: WSOM (2001)
Keyphrases
- dimension reduction
- feature extraction
- high dimensional
- frequency domain
- self organizing maps
- feature vectors
- principal component analysis
- vibration signal
- unsupervised learning
- cluster analysis
- condition monitoring
- signal processing
- feature space
- linear discriminant analysis
- manifold learning
- dimensionality reduction
- variable selection
- data mining and machine learning
- feature selection
- high dimensional problems
- preprocessing
- partial least squares
- low dimensional
- discriminative information
- high dimensionality
- discriminant analysis
- random projections
- pattern recognition
- singular value decomposition
- neural network
- face recognition
- extracted features
- high dimensional data
- image processing
- sparse metric learning
- principle component analysis
- dimension reduction methods
- input data
- preprocessing step
- input space
- reinforcement learning
- object recognition
- pairwise
- knowledge discovery
- feature set
- support vector machine svm