Random Projections for $k$-means Clustering.
Christos BoutsidisAnastasios ZouziasPetros DrineasPublished in: NIPS (2010)
Keyphrases
- random projections
- compressed sensing
- compressive sensing
- dimensionality reduction
- random sampling
- dimension reduction
- original data
- k means
- image reconstruction
- sparse representation
- low dimensional
- principal component analysis
- hash functions
- clustering algorithm
- singular value decomposition
- document clustering
- active learning
- pattern recognition
- data mining
- neural network
- high dimensionality
- face recognition
- feature selection