| Autor: |
FROSSYNIOTIS, DIMITRIOS S., PATERITSAS, CHRISTOS, STAFYLOPATIS, ANDREAS |
| Předmět: |
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| Zdroj: |
International Journal of Neural Systems; Oct2005, Vol. 15 Issue 5, p391-401, 11p, 2 Charts, 12 Graphs |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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