Joint adaptive mean-variance regularization and variance stabilization of high dimensional data.
Jean-Eudes J. DazardJ. Sunil RaoPublished in: Comput. Stat. Data Anal. (2012)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensional
- nearest neighbor
- low dimensional
- data analysis
- subspace clustering
- high dimensionality
- data sets
- high dimensions
- dimension reduction
- original data
- data points
- clustering high dimensional data
- similarity search
- sparse representation
- manifold learning
- low rank
- data distribution
- input data
- linear discriminant analysis
- lower dimensional
- text data
- high dimensional spaces
- database
- high dimensional datasets
- real world
- feature extraction
- input space
- regularization parameter
- dimensional data
- training set
- knn
- neural network
- small sample size
- principal component analysis