Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional DataPost-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data, Syed Ejaz Ahmed, Feryaal Ahmed, and Bahadir Yüzbaşı, New York: Chapman and Hall/CRC Press, 2023, 408 pp., ISBN 9780367763442.
Abdulkadir HusseinPublished in: Technometrics (2023)
Keyphrases
- high dimensional data
- high dimensional
- dimensionality reduction
- low dimensional
- high dimensionality
- nearest neighbor
- subspace clustering
- data points
- small sample size
- data sets
- high dimensions
- similarity search
- manifold learning
- high dimensional spaces
- input space
- lower dimensional
- high dimensional datasets
- high dimensional feature spaces
- nearest neighbor search
- linear discriminant analysis
- input data
- data management
- feature vectors