Preterm Birth Prediction: Stable Selection of Interpretable Rules from High Dimensional Data.
Truyen TranWei LuoDinh Q. PhungJonathan MorrisKristen RickardSvetha VenkateshPublished in: MLHC (2016)
Keyphrases
- high dimensional data
- nearest neighbor
- classification rules
- dimensionality reduction
- low dimensional
- high dimensional
- subspace clustering
- data sets
- high dimensionality
- high dimensions
- data points
- data analysis
- dimension reduction
- similarity search
- clustering high dimensional data
- input space
- original data
- missing values
- linear discriminant analysis
- association rules
- data distribution
- high dimensional datasets
- sparse representation
- input data
- manifold learning
- dimensional data
- high dimensional spaces
- nonlinear dimensionality reduction
- complex data
- high dimensional data sets
- learning algorithm
- small sample size
- machine learning
- computer vision
- support vector