DICE: Density-based Interactive Clustering and Exploration.
Daniyal KazempourMaksim KazakovPeer KrögerThomas SeidlPublished in: BTW (2019)
Keyphrases
- clustering algorithm
- clustering method
- k means
- outlier detection
- data exploration
- density based clustering
- anomaly detection
- spatial clustering
- data clustering
- arbitrary shape
- guided exploration
- computer graphics
- clustering framework
- unsupervised learning
- hierarchical clustering
- density based clustering algorithm
- similarity measure
- information visualization
- cluster centers
- subspace clustering
- distance metric
- self organizing maps
- virtual reality
- fuzzy clustering
- spectral clustering
- clustering analysis
- data objects
- clustering approaches
- document clustering
- cluster analysis
- user friendly
- interactive exploration