BANG-Clustering: A novel grid-clustering algorithm for huge data sets
In this paper a new approach to hierarchical clustering of huge data sets is presented, which is based on a Grid-Clustering approach [Sch96]. It uses a multi-dimensional grid data structure, the BANG structure, to organize the value space surrounding the pattern values. The patterns are grouped into blocks and clustered with respect to the blocks by a topological neighbor search algorithm.
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