Bump hunting in high-dimensional data.
Jerome H. FriedmanNicholas I. FisherPublished in: Stat. Comput. (1999)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensionality
- high dimensional
- low dimensional
- high dimensions
- data sets
- nearest neighbor
- data analysis
- subspace clustering
- high dimensional spaces
- dimension reduction
- data points
- complex data
- similarity search
- data distribution
- input space
- original data
- text data
- lower dimensional
- clustering high dimensional data
- linear discriminant analysis
- sparse representation
- input data
- dimensional data
- manifold learning
- nonlinear dimensionality reduction
- small sample size
- high dimensional feature spaces
- variable selection
- multi dimensional
- high dimensional datasets
- principal component analysis
- feature extraction