Dimensionality Reduction of Protein Mass Spectrometry Data Using Random Projection.
Chen Change LoyWeng-Kin LaiChee Peng LimPublished in: ICONIP (2) (2006)
Keyphrases
- mass spectrometry data
- random projections
- dimensionality reduction
- pattern classification
- mass spectrometry
- high throughput
- principal component analysis
- low dimensional
- feature extraction
- pattern recognition
- high dimensional data
- high dimensional
- feature selection
- data points
- dimensionality reduction methods
- unsupervised learning
- high dimensionality
- sparse representation
- cancer classification
- dimension reduction
- feature space
- biomarker discovery
- linear discriminant analysis
- singular value decomposition
- data sets
- original data
- random sampling
- image representation
- image processing
- neural network