Unfolding the Manifold in Generative Topographic Mapping.
Raúl Cruz-BarbosaAlfredo VellidoPublished in: HAIS (2008)
Keyphrases
- generative topographic mapping
- data clustering
- dimension reduction
- semi supervised
- self organizing maps
- density estimation
- em algorithm
- data mining framework
- low dimensional
- manifold learning
- geodesic distance
- high dimensional
- feature space
- maximum likelihood
- unsupervised learning
- machine learning
- feature extraction
- support vector
- high dimensional data
- expectation maximization
- training data
- similarity search
- probability density function
- feature selection
- data mining
- dimensionality reduction