Density-based Projected Clustering over High Dimensional Data Streams.
Irene NtoutsiArthur ZimekThemis PalpanasPeer KrögerHans-Peter KriegelPublished in: SDM (2012)
Keyphrases
- genetic algorithm
- high dimensional data streams
- anomaly detection
- clustering algorithm
- clustering method
- k means
- data streams
- density based clustering
- change detection
- outlier detection
- neural network
- unsupervised learning
- document clustering
- subspace clustering
- arbitrary shape
- spatial clustering
- spectral clustering
- clustering analysis
- information theoretic
- data sets
- data clustering
- hierarchical clustering
- dissimilarity measure
- data mining tasks
- pairwise
- density based clustering algorithm
- high dimensional data