Evaluating the performance of sparse principal component analysis methods in high-dimensional data scenarios.
Ashley J. BonnerJoseph BeyenePublished in: Commun. Stat. Simul. Comput. (2017)
Keyphrases
- high dimensional data
- data sets
- high dimensional
- data points
- low dimensional
- nearest neighbor
- dimension reduction
- nonlinear dimensionality reduction
- high dimensional spaces
- high dimensionality
- similarity search
- machine learning
- high dimensional datasets
- subspace clustering
- dimensionality reduction
- pattern recognition
- original data
- database
- low rank
- feature vectors
- neural network
- clustering high dimensional data