Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data.
Emin AksehirliBart GoethalsEmmanuel MüllerJilles VreekenPublished in: ICDM (2013)
Keyphrases
- high dimensional data
- neighborhood preserving
- dimensionality reduction
- low dimensional
- high dimensionality
- subspace clustering
- high dimensional
- high dimensions
- manifold learning
- nearest neighbor
- similarity search
- data points
- subspace clusters
- data sets
- data distribution
- clustering high dimensional data
- sparse representation
- data mining
- data analysis
- dimension reduction
- input space
- high dimensional spaces
- subspace learning
- high dimensional datasets
- text mining
- dimensional data
- pattern recognition
- linear discriminant analysis
- image processing
- lower dimensional
- nonlinear dimensionality reduction
- small sample size
- pairwise
- dimensionality reduction methods
- input data
- semi supervised
- principal component analysis