Online Clustering with Variable Sized Clusters.
János CsirikLeah EpsteinCsanád ImrehAsaf LevinPublished in: Algorithmica (2013)
Keyphrases
- clustering algorithm
- variable sized
- hierarchical clustering
- overlapping clusters
- cluster analysis
- data clustering
- document clustering
- clustering method
- self organizing maps
- stream clustering
- graph clustering
- unsupervised clustering
- k means
- fuzzy clustering
- agglomerative hierarchical clustering
- incremental clustering
- clustering approaches
- clustering scheme
- density based clustering
- cluster centers
- density based clustering algorithm
- model based clustering
- subspace clustering
- disjoint clusters
- cluster structure
- clustering quality
- cluster membership
- evolving data streams
- online learning
- hierarchical clustering algorithm
- validity measures
- constrained clustering
- clustering framework
- clustering result
- data points
- agglomerative clustering
- arbitrary shape
- homogeneous groups
- clustering procedure
- inter cluster
- cluster validity
- hierarchical agglomerative clustering
- fuzzy c means
- data objects
- outlier detection
- fuzzy k means
- spatial clustering
- spectral clustering
- classical clustering algorithms
- validity index
- soft clustering
- arbitrary shaped
- intra cluster
- high dimensional datasets
- similar objects
- similarity matrix
- categorical data
- cluster validation
- dissimilarity matrix
- clustering ensemble
- clusters of arbitrary shapes
- pairwise