Keyphrases
- high dimensional data
- attribute values
- data points
- high dimensionality
- subspace clustering
- dimensionality reduction
- categorical data
- nearest neighbor
- high dimensional
- high dimensions
- low dimensional
- similarity search
- data sets
- original data
- data analysis
- high dimensional data sets
- numerical attributes
- clustering high dimensional data
- clustering algorithm
- high dimensional datasets
- linear discriminant analysis
- input space
- manifold learning
- dimensional data
- missing values
- high dimensional spaces
- nonlinear dimensionality reduction
- dimension reduction
- feature space
- lower dimensional
- clustering method
- locally linear embedding
- multiple attribute decision making
- input data
- k means
- multi attribute
- document clustering
- cluster analysis
- distance function
- data streams
- pattern recognition
- real world