AA-DBSCAN: an approximate adaptive DBSCAN for finding clusters with varying densities.
Jeong-Hun KimJong-Hyeok ChoiKwan-Hee YooAziz NasridinovPublished in: J. Supercomput. (2019)
Keyphrases
- density based clustering
- clustering algorithm
- density based clustering algorithm
- spatial clustering
- data clustering
- clustering method
- cluster analysis
- categorical data
- k means
- arbitrary shape
- distributed data mining
- subspace clustering
- dense regions
- databases
- spatial objects
- outlier detection
- exact solution
- unsupervised clustering
- high efficiency
- document clustering
- knowledge discovery
- neural network