Producing Accurate Interpretable Clusters from High-Dimensional Data.
Derek GreenePadraig CunninghamPublished in: PKDD (2005)
Keyphrases
- high dimensional data
- subspace clustering
- data points
- input space
- high dimensional datasets
- dimensionality reduction
- high dimensional
- data distribution
- low dimensional
- cluster structure
- high dimensionality
- high dimensions
- nearest neighbor
- data sets
- input data
- subspace clusters
- data analysis
- clustering high dimensional data
- dimension reduction
- high dimensional spaces
- manifold learning
- original data
- high dimensional feature spaces
- similarity search
- lower dimensional
- dimensional data
- clustering algorithm
- linear discriminant analysis
- locally linear embedding
- feature space
- nonlinear dimensionality reduction
- principal component analysis
- pattern recognition
- underlying manifold
- learning algorithm