Organizing and Exploring High-Dimensional Data with the Growing Hierarchical Self-Organizing Map.
Michael DittenbachDieter MerklAndreas RauberPublished in: FSKD (2002)
Keyphrases
- high dimensional data
- growing hierarchical self organizing map
- nearest neighbor
- dimensionality reduction
- high dimensional
- low dimensional
- high dimensionality
- data points
- data sets
- subspace clustering
- similarity search
- dimension reduction
- data analysis
- linear discriminant analysis
- high dimensional spaces
- input space
- dimensional data
- high dimensional datasets
- nonlinear dimensionality reduction
- manifold learning
- knn
- gene expression data
- self organizing maps
- multi dimensional
- text data
- k nearest neighbor
- supervised learning
- knowledge discovery
- data mining
- tumor classification
- clustering high dimensional data
- neural network