Estimation of predictive performance in high-dimensional data settings using learning curves.
Jeroen M. GoedhartThomas KlauschMark A. van de WielPublished in: Comput. Stat. Data Anal. (2023)
Keyphrases
- high dimensional data
- learning curves
- low dimensional
- high dimensional
- dimensionality reduction
- learning curve
- average case
- nearest neighbor
- data sets
- subspace clustering
- data points
- clustering high dimensional data
- data analysis
- similarity search
- input space
- learning algorithm
- random graphs
- missing values
- vc dimension
- power law
- euclidean distance
- knn
- regression problems
- feature vectors
- face recognition
- feature selection