Computing persistent features in big data: A distributed dimension reduction approach.
Adam C. WilkersonHarish ChintakuntaHamid KrimPublished in: ICASSP (2014)
Keyphrases
- dimension reduction
- big data
- feature extraction
- discriminative information
- feature space
- high dimensionality
- high dimensional
- low dimensional
- social computing
- manifold learning
- principal component analysis
- data management
- feature vectors
- massive datasets
- social media
- data analysis
- big data analytics
- unsupervised learning
- cluster analysis
- singular value decomposition
- data processing
- knowledge discovery
- case study
- databases
- data warehousing
- high dimensional data
- database management systems
- database