The growing hierarchical self-organizing map: exploratory analysis of high-dimensional data.
Andreas RauberDieter MerklMichael DittenbachPublished in: IEEE Trans. Neural Networks (2002)
Keyphrases
- high dimensional data
- exploratory analysis
- growing hierarchical self organizing map
- data analysis
- tumor classification
- low dimensional
- gene expression data
- nearest neighbor
- data sets
- dimensionality reduction
- high dimensional
- self organizing maps
- information visualization
- high dimensionality
- data points
- data visualization
- subspace clustering
- similarity search
- data mining techniques
- data mining
- input data
- linear discriminant analysis
- clustering high dimensional data
- training data
- database
- neural network
- multi dimensional
- data warehouse
- databases
- computer vision