Random Projections for $k$-means Clustering
Christos BoutsidisAnastasios ZouziasPetros DrineasPublished in: CoRR (2010)
Keyphrases
- random projections
- dimensionality reduction
- compressed sensing
- dimension reduction
- compressive sensing
- image reconstruction
- k means
- sparse representation
- original data
- low dimensional
- document clustering
- random sampling
- principal component analysis
- hash functions
- cluster analysis
- neural network
- distributed source coding
- high dimensionality
- support vector
- feature selection
- information retrieval