Robust self-healing prediction model for high dimensional data.
Anirudha RayasamNagamma PatilPublished in: CoRR (2022)
Keyphrases
- high dimensional data
- prediction model
- low dimensional
- dimensionality reduction
- nearest neighbor
- high dimensional
- regression model
- data points
- subspace clustering
- high dimensions
- data analysis
- data sets
- high dimensionality
- dimension reduction
- original data
- clustering high dimensional data
- similarity search
- input space
- sparse representation
- manifold learning
- high dimensional spaces
- variable selection
- neural network
- exponential smoothing
- nonlinear dimensionality reduction
- low rank
- subspace learning
- stepwise regression
- response surface methodology
- lower dimensional
- feature space
- ls svm
- dimensional data
- data mining
- high dimensional datasets
- real world
- support vector
- high dimensional data sets
- pattern recognition
- database
- input data