Towards visualisation of sound-scapes through dimensionality reduction.
Aaron S. W. WongStephan K. ChalupPublished in: IJCNN (2008)
Keyphrases
- dimensionality reduction
- high dimensional data
- high dimensional
- pattern recognition and machine learning
- data representation
- feature extraction
- low dimensional
- high dimensionality
- principal component analysis
- linear dimensionality reduction
- linear discriminant analysis
- preprocessing step
- pattern recognition
- feature selection
- principal components
- manifold learning
- input space
- metric learning
- lower dimensional
- structure preserving
- dimensionality reduction methods
- random projections
- nonlinear dimensionality reduction
- euclidean distance
- dimension reduction
- singular value decomposition
- sparse representation
- data points
- user interface
- principal components analysis
- feature space
- supervised dimensionality reduction
- graph embedding
- discriminant analysis
- linear transformation
- kernel learning
- database
- decision trees
- information systems