Hybrid Algorithm for Inductive Cluster Analysis Using Density Distribution Data Evaluation
Journal Title: Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì - Year 2015, Vol 832, Issue
Abstract
In this article proposed a new clustering technique, which is based on two methods: density algorithm DBSCAN and inductive objective clustering algorithm. Experimentally proved that the combination of two these methods can solve the problem of recognition of clusters of different nonlinear form, and greatly increase the accuracy in the detection of complex objects.
Authors and Affiliations
Lurie Irina, Osipenko Volodymyr, Volodymyr Lytvynenko, Taif Muchamed Ali, Natalia Kornilovska
Keywords
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