Handling high-dimensional data in air pollution forecasting tasks.
Diana DomanskaSzymon LukasikPublished in: Ecol. Informatics (2016)
Keyphrases
- high dimensional data
- air pollution
- dimensionality reduction
- low dimensional
- high dimensional
- nearest neighbor
- subspace clustering
- similarity search
- data sets
- high dimensionality
- high dimensions
- air quality
- dimension reduction
- input space
- manifold learning
- data points
- data analysis
- data distribution
- clustering high dimensional data
- high dimensional datasets
- high dimensional data sets
- linear discriminant analysis
- high dimensional spaces
- nonlinear dimensionality reduction
- lower dimensional
- dimensional data
- input data
- feature extraction
- feature selection
- neural network
- database