DENDIS: A new density-based sampling for clustering algorithm.
Frédéric RosSerge GuillaumePublished in: Expert Syst. Appl. (2016)
Keyphrases
- clustering algorithm
- density based clustering
- clustering method
- k means
- arbitrary shape
- subspace clustering
- random sampling
- data clustering
- cluster analysis
- fuzzy clustering
- unsupervised clustering
- fuzzy c means
- document clustering
- spatial clustering
- hierarchical clustering
- dense regions
- monte carlo
- spectral clustering
- sampling strategy
- overlapping clusters
- parameter space
- affinity propagation
- sampling algorithm
- cluster centers
- outlier detection
- spatial data
- sample size
- model selection
- nearest neighbor
- pairwise
- decision trees