Constructing a graph of connections in clustering algorithm of complex objects

Authors

  • Татьяна Шатовская Kharkiv National University of Radioelectronics Lenina 16, Kharkov, Ukraine, 61166, Ukraine
  • Ирина Витальевна Каменева Kharkiv National University of Radioelectronics Lenina 16, Kharkov, Ukraine, 61166, Ukraine

DOI:

https://doi.org/10.15587/2313-8416.2015.42641

Keywords:

clustering, algorithm Chameleon, graph construction, connectivity, k-nearest neighbors, hierarchical clustering

Abstract

The article describes the results of modifying the algorithm Chameleon. Hierarchical multi-level algorithm consists of several phases: the construction of the count, coarsening, the separation and recovery. Each phase can be used various approaches and algorithms. The main aim of the work is to study the quality of the clustering of different sets of data using a set of algorithms combinations at different stages of the algorithm and improve the stage of construction by the optimization algorithm of k choice in the graph construction of k of nearest neighbors

Author Biographies

Татьяна Шатовская, Kharkiv National University of Radioelectronics Lenina 16, Kharkov, Ukraine, 61166

PhD, Associate Professor

Department of Software Engineering

Ирина Витальевна Каменева, Kharkiv National University of Radioelectronics Lenina 16, Kharkov, Ukraine, 61166

PhD, associate professor

Department of Software Engineering

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Published

2015-05-19

Issue

Section

Technical Sciences