Random survival forests for high-dimensional data.
Hemant IshwaranUdaya B. KogalurXi ChenAndy J. MinnPublished in: Stat. Anal. Data Min. (2011)
Keyphrases
- high dimensional data
- low dimensional
- dimensionality reduction
- high dimensional
- high dimensions
- nearest neighbor
- subspace clustering
- data analysis
- high dimensionality
- dimension reduction
- similarity search
- data distribution
- data sets
- high dimensional spaces
- high dimensional datasets
- original data
- input space
- clustering high dimensional data
- lower dimensional
- high dimensional data sets
- data points
- manifold learning
- dimensional data
- text data
- nonlinear dimensionality reduction
- sparse representation
- linear discriminant analysis
- particle swarm optimization
- input data
- random forests
- regression model
- image data
- machine learning