High-dimensional data clustering.
Charles BouveyronStéphane GirardCordelia SchmidPublished in: Comput. Stat. Data Anal. (2007)
Keyphrases
- high dimensional data
- high dimensionality
- data points
- low dimensional
- dimensionality reduction
- nearest neighbor
- high dimensional
- subspace clustering
- data sets
- high dimensions
- high dimensional data sets
- clustering high dimensional data
- dimension reduction
- data analysis
- manifold learning
- original data
- high dimensional spaces
- high dimensional datasets
- data distribution
- similarity search
- input space
- linear discriminant analysis
- clustering algorithm
- nonlinear dimensionality reduction
- sparse representation
- dimensional data
- pattern recognition
- small sample size
- database
- text data
- feature space
- lower dimensional
- data streams
- data clustering
- unsupervised learning
- principal component analysis