Efficiently maintaining moving micro clusters for clustering moving objects.
Chih LaiEdward A. HeuerPublished in: SoSE (2008)
Keyphrases
- moving objects
- clustering algorithm
- hierarchical clustering
- overlapping clusters
- cluster analysis
- data clustering
- k means
- unsupervised clustering
- spatio temporal
- fuzzy clustering
- intra cluster
- clustering approaches
- document clustering
- clustering method
- density based clustering algorithm
- self organizing maps
- clustering scheme
- inter cluster
- background subtraction
- motion segmentation
- cluster membership
- constrained clustering
- agglomerative hierarchical clustering
- video sequences
- clustering framework
- incremental clustering
- density based clustering
- multiple moving objects
- image sequences
- subspace clustering
- validity measures
- object tracking
- clustering procedure
- disjoint clusters
- data points
- agglomerative clustering
- moving object databases
- cluster validation
- hierarchical clustering algorithm
- graph clustering
- arbitrary shape
- cluster structure
- spatial clustering
- similar objects
- cluster centers
- moving camera
- spectral clustering
- clusters of arbitrary shapes
- clustering quality
- model based clustering
- continuously moving
- fuzzy k means
- homogeneous groups
- affinity measure
- clustering result
- detection algorithm
- road network
- similarity matrix
- video surveillance
- fuzzy c means
- hierarchical agglomerative clustering
- classical clustering algorithms
- high dimensional data
- simultaneous clustering
- categorical data
- mobile objects
- objects moving
- moving points
- validity indices
- meaningful clusters
- search results clustering
- high dimensional
- cluster labels
- kohonen self organizing maps