Influence of cluster center selection on clustering by hybrid neural network model
The paper deals with application of hybrid neural network model consisting of OM-PCNN and Projective ART for multidimensional data clustering. This paper points out the impact of cluster center selection for parameter σ in the Projective ART, which affects the number of clusters and the clustering a...
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| creator | Krakovsky, R. Forgac, R. Mokris, I. |
| description | The paper deals with application of hybrid neural network model consisting of OM-PCNN and Projective ART for multidimensional data clustering. This paper points out the impact of cluster center selection for parameter σ in the Projective ART, which affects the number of clusters and the clustering accuracy. |
| doi_str_mv | 10.1109/LINDI.2012.6319494 |
| format | Conference Proceeding |
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This paper points out the impact of cluster center selection for parameter σ in the Projective ART, which affects the number of clusters and the clustering accuracy.</abstract><pub>IEEE</pub><doi>10.1109/LINDI.2012.6319494</doi><tpages>6</tpages></addata></record> |
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| ispartof | 2012 4th IEEE International Symposium on Logistics and Industrial Informatics, 2012, p.233-238 |
| issn | 2156-8790 2156-8804 |
| language | eng |
| recordid | cdi_ieee_primary_6319494 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Accuracy Clustering algorithms Neural networks Neurons Subspace constraints Testing Training |
| title | Influence of cluster center selection on clustering by hybrid neural network model |
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