Integration of Projected Clusters and Principal Axis Trees for High-Dimensional Data Indexing and Query.
Ben WangJohn Q. GanPublished in: IDEAL (2004)
Keyphrases
- high dimensional data
- subspace clustering
- principal axis
- data points
- indexing techniques
- similarity search
- data distribution
- high dimensional datasets
- database
- input space
- dimensionality reduction
- nearest neighbor
- high dimensional
- high dimensionality
- indexing structure
- low dimensional
- query processing
- data sets
- subspace clusters
- data analysis
- input data
- decision trees
- clustering high dimensional data
- high dimensional spaces
- data structure
- range queries
- nearest neighbor search
- principal axes
- sparse representation
- principal component analysis
- feature space
- pose normalization
- clustering algorithm
- machine learning
- multi dimensional