High-Dimensional Clustering via Random Projections.
Laura AnderlucciFrancesca FortunatoAngela MontanariPublished in: J. Classif. (2022)
Keyphrases
- random projections
- high dimensional
- high dimensionality
- dimensionality reduction
- low dimensional
- dimension reduction
- high dimensional data
- document clustering
- compressive sensing
- data points
- clustering algorithm
- compressed sensing
- unsupervised learning
- clustering method
- feature space
- sparse representation
- original data
- principal component analysis
- random sampling
- cluster analysis
- similarity search
- k means
- neural network
- multi dimensional
- nearest neighbor
- linear discriminant analysis
- pattern recognition
- image reconstruction
- microarray
- preprocessing
- kernel function