Online Clustering with Variable Sized Clusters.
János CsirikLeah EpsteinCsanád ImrehAsaf LevinPublished in: MFCS (2010)
Keyphrases
- clustering algorithm
- variable sized
- hierarchical clustering
- overlapping clusters
- cluster analysis
- data clustering
- clustering method
- clustering scheme
- clustering approaches
- self organizing maps
- incremental clustering
- clustering quality
- inter cluster
- clustering framework
- unsupervised clustering
- graph clustering
- document clustering
- density based clustering
- k means
- data points
- agglomerative hierarchical clustering
- online learning
- subspace clustering
- hierarchical clustering algorithm
- arbitrary shape
- clustering result
- fuzzy clustering
- model based clustering
- spectral clustering
- intra cluster
- agglomerative clustering
- density based clustering algorithm
- stream clustering
- cluster structure
- clustering procedure
- spatial clustering
- soft clustering
- cluster centers
- validity measures
- cluster membership
- clustering analysis
- categorical data
- fuzzy k means
- hierarchical agglomerative clustering
- dissimilarity matrix
- fuzzy clustering algorithm
- constrained clustering
- fuzzy c means
- similarity measure
- multiple data streams
- homogeneous groups
- grid cells
- classical clustering algorithms
- kohonen self organizing maps
- cluster validity
- bayesian information criterion
- high dimensional datasets
- similarity matrix
- data objects
- unsupervised learning
- image segmentation