Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization.
Kerstin BunteFrank-Michael SchleifSven HaaseThomas VillmannPublished in: ESANN (2011)
Keyphrases
- dimension reduction
- mathematical foundations
- manifold embedding
- multidimensional scaling
- low dimensional
- generative topographic mapping
- principal component analysis
- feature extraction
- high dimensional problems
- random projections
- high dimensional data
- high dimensional
- data mining and machine learning
- singular value decomposition
- variable selection
- partial least squares
- linear discriminant analysis
- dimensionality reduction
- nearest neighbor
- manifold learning
- cluster analysis
- data analysis
- feature selection
- high dimensional data analysis
- high dimensionality
- vector space
- self organizing maps
- unsupervised learning
- feature space
- latent space
- data points
- preprocessing
- clustering method
- kernel pca
- discriminative information
- text mining
- knowledge discovery
- locality preserving projections
- face recognition