Manifold learning for dimensionality reduction and clustering of skin spectroscopy data.
Asad SafiVictor CastañedaTobias LasserDiana MateusNassir NavabPublished in: Medical Imaging: Computer-Aided Diagnosis (2011)
Keyphrases
- dimensionality reduction
- high dimensional data
- manifold learning
- data points
- data analysis
- data sets
- low dimensional
- manifold structure
- multidimensional scaling
- training data
- input space
- high dimensional
- embedding space
- data mining techniques
- clustering method
- data mining
- subspace learning
- diffusion maps
- riemannian manifolds
- lower dimensional
- intrinsic manifold
- spectral clustering
- cluster analysis
- sparse representation
- input data
- principal component analysis
- k means
- feature space
- clustering algorithm
- neural network