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A multi-clustering fusion scheme for data partitioning.

Dimitrios S Frossyniotis·Christos Pateritsas·Andreas Stafylopatis
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Abstract

A multi-clustering fusion method is presented based on combining several runs of a clustering algorithm resulting in a common partition. More specifically, the results of several independent runs of the same clustering algorithm are appropriately combined to obtain a distinct partition of the data which is not affected by initialization and overcomes the instabilities of clustering methods. Subsequently, a fusion procedure is applied to the clusters generated during the previous phase to determine the optimal number of clusters in the data set according to some predefined criteria.

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AlgorithmsArtificial IntelligenceDatabase Management SystemsJournal ArticleResearch Support, Non-U.S. Gov't

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Dimitrios S Frossyniotis, Christos Pateritsas, Andreas Stafylopatis. 2005. A multi-clustering fusion scheme for data partitioning.. https://doi.org/10.1142/s0129065705000360

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