HDGSOM: A Modified Growing Self-Organizing Map for High Dimensional Data Clustering.
Rasika AmarasiriL. Damminda AlahakoonKate A. SmithPublished in: HIS (2004)
Keyphrases
- data clustering
- high dimensional
- growing self organizing map
- unsupervised learning
- self organizing maps
- clustering algorithm
- spectral clustering
- k means
- cluster analysis
- exploratory data analysis
- dimensionality reduction
- low dimensional
- high dimensionality
- deterministic annealing
- similarity search
- feature space
- neural network
- multi dimensional
- databases
- high dimensional data
- unsupervised feature selection
- nearest neighbor
- knowledge discovery
- data points
- probabilistic model
- manifold learning
- real world