Clustering Data Streams Based on Shared Density between Micro-Clusters.
Michael HahslerMatthew BolañosPublished in: IEEE Trans. Knowl. Data Eng. (2016)
Keyphrases
- clustering algorithm
- data streams
- density based clustering algorithm
- multiple data streams
- hierarchical clustering
- arbitrary shape
- clusters of arbitrary shapes
- overlapping clusters
- cluster analysis
- density based clustering
- data clustering
- k means
- dense regions
- incremental clustering
- unsupervised clustering
- clustering method
- clustering approaches
- clustering scheme
- hierarchical clustering algorithm
- self organizing maps
- data points
- cluster centers
- agglomerative hierarchical clustering
- document clustering
- clustering framework
- fuzzy k means
- constrained clustering
- graph clustering
- clustering procedure
- clustering result
- fuzzy clustering
- classical clustering algorithms
- sensor networks
- data distribution
- cluster centroids
- intra cluster
- concept drift
- agglomerative clustering
- categorical data
- subspace clustering
- model based clustering
- inter cluster
- stream clustering
- clustering quality
- unsupervised learning
- sliding window
- outlier detection
- cluster validation
- data sets
- spectral clustering
- cluster labels
- disjoint clusters
- spatial clustering
- bayesian information criterion
- continuous data streams
- dissimilarity matrix
- fuzzy clustering algorithm
- clustering analysis
- cluster validity index
- high dimensional datasets
- homogeneous groups
- meaningful clusters
- evolving data streams
- hierarchical agglomerative clustering
- fuzzy c means
- synthetic datasets