Estimation of the proportion of true null hypotheses in high-dimensional data under dependence.
Chloé FriguetDavid CauseurPublished in: Comput. Stat. Data Anal. (2011)
Keyphrases
- high dimensional data
- nearest neighbor
- low dimensional
- high dimensional
- dimensionality reduction
- data sets
- high dimensionality
- high dimensions
- similarity search
- subspace clustering
- dimension reduction
- data points
- original data
- data analysis
- manifold learning
- lower dimensional
- linear discriminant analysis
- high dimensional spaces
- low rank
- clustering high dimensional data
- complex data
- input space
- data distribution
- sparse representation
- variable selection
- nonlinear dimensionality reduction
- high dimensional data sets
- high dimensional feature spaces
- data mining
- text data
- feature space
- subspace learning
- dimensional data
- pattern recognition
- high dimensional datasets
- computer vision
- small sample size