Clustering by Random Projections.
Thierry UrrutyChabane DjerabaDan A. SimoviciPublished in: ICDM (2007)
Keyphrases
- random projections
- document clustering
- compressive sensing
- dimensionality reduction
- clustering algorithm
- compressed sensing
- high dimensionality
- dimension reduction
- random sampling
- k means
- principal component analysis
- low dimensional
- image reconstruction
- sparse representation
- unsupervised learning
- original data
- data points
- high dimensional data
- data sets
- face recognition
- microarray
- least squares
- image data
- high resolution
- feature space
- data mining