Clustering Massive High Dimensional Data with Dynamic Feature Maps.
Rasika AmarasiriDamminda AlahakoonKate Smith-MilesPublished in: ICONIP (2) (2006)
Keyphrases
- high dimensional data
- feature maps
- data analysis
- high dimensionality
- low dimensional
- subspace clustering
- high dimensional
- data points
- dimensionality reduction
- data sets
- nearest neighbor
- clustering high dimensional data
- input space
- high dimensional datasets
- similarity search
- high dimensional data sets
- manifold learning
- self organizing maps
- input data
- clustering algorithm
- feature vectors
- machine learning
- high dimensional spaces
- outlier detection
- database