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A new kind of clustering algorithm called LOCAHID is presented in this paper. LOCAHID views each potential cluster as a tight coupling structure, which can be described by a density tree. Every density tree is dynamically generated according to its local density distribution. Those "closer" clusters are merged if some conditions are satisfied. In order to extend its applications to large...
A new kind of clustering algorithm called CABDET is presented in this paper. CABDET creates a tree structure for every cluster, from which the neighbor's radius of the current object is calculated by the local density of its father node. Those unprocessed objects in the neighbor of the current object are added to extend the tree structure until no new object is founded. Each density-tree is regarded...
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