Hybrid Algorithm for Inductive Cluster Analysis Using Density Distribution Data Evaluation

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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  • EP ID EP576761
  • DOI -
  • Views 127
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How To Cite

Lurie Irina, Osipenko Volodymyr, Volodymyr Lytvynenko, Taif Muchamed Ali, Natalia Kornilovska (2015). Hybrid Algorithm for Inductive Cluster Analysis Using Density Distribution Data Evaluation. Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì, 832(), 178-190. https://europub.co.uk/articles/-A-576761