Clustering high dimensional sparse transactional data with constraints.
Yanrong LiRaj P. GopalanPublished in: GrC (2006)
Keyphrases
- transactional data
- high dimensional
- data points
- high dimensionality
- high dimensional data
- sparse data
- low dimensional
- clustering method
- high dimensional data sets
- high dimensional datasets
- clustering algorithm
- k means
- dimensionality reduction
- semi supervised clustering
- constrained clustering
- feature space
- credit card
- similarity search
- variable selection
- sparse coding
- instance level constraints
- sparse representation
- data streams
- outlier detection
- cluster analysis
- document clustering
- hierarchical clustering
- unsupervised learning
- image classification
- nearest neighbor
- additive models
- transactional databases
- databases
- real world
- data mining
- data analysis
- high dimension
- training set
- database