Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm.
Robert JenssenTorbjørn EltoftMark A. GirolamiDeniz ErdogmusPublished in: NIPS (2006)
Keyphrases
- maximum entropy
- data transformation
- clustering algorithm
- normalized cut
- data integration
- maximum entropy principle
- privacy preserving
- data quality
- functional dependencies
- data mining
- privacy preserving data mining
- data warehousing
- spectral clustering
- conditional random fields
- k means
- transformation based learning
- minimum cross entropy
- dimensionality reduction
- image segmentation
- privacy preservation
- data clustering
- support vector
- kernel function
- feature space
- cluster analysis
- data privacy
- kernel learning
- pairwise
- information retrieval
- data sources
- data warehouse
- database
- data management
- generative model