Ensemble of Clustering Algorithms for Large Datasets
I. A. Pestunov1, V. B. Berikov2, E. A. Kulikova1, S. A. Rylov1
1 Institute of Computational Technologies, Siberian Branch, Russian Academy of Sciences
2 Sobolev Institute of Mathematics, Siberian Branch, Russian Academy of Sciences
pestunov@ict.nsc.ru, berikov@math.nsc.ru, budkinaea@mail.ru, rylovs@mail.ru
Keywords: ensemble clustering algorithm, grid-based approach, large datasets
Pages: 49-58
Abstract
The ensemble clustering algorithm ECCA (Ensemble of Combined Clustering Algorithms) for processing large datasets is proposed and theoretically substantiated. Results of an experimental study of the algorithm on simulated and real data proving its effectiveness are presented.
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