Classification of cancer cell death with spectral dimensionality reduction and generalized eigenvalues.
Mario R. GuarracinoPetros XanthopoulosGeorgios PyrgiotakisVera TomainoBrij M. MoudgilPanos M. PardalosPublished in: Artif. Intell. Medicine (2011)
Keyphrases
- dimensionality reduction
- feature extraction
- high dimensionality
- principal components
- classification accuracy
- pattern recognition and machine learning
- principal component analysis
- pattern recognition
- early detection
- cancer cells
- support vector machine
- hyperspectral images
- dimensionality reduction methods
- feature vectors
- high dimensional
- feature space
- machine learning
- machine learning methods
- high dimensional data
- decision trees
- feature selection
- kernel learning
- supervised dimensionality reduction
- kernel matrix
- metric learning
- hyperspectral
- singular value decomposition
- machine learning algorithms
- text classification
- low dimensional
- multi class
- computer vision