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  4. 5(86)'2010
  5. Research of dynamic clustering on linearly inseparable plagued experimental data

Research of dynamic clustering on linearly inseparable plagued experimental data

N.S. Lesna, T.B. Shatovska, A.V. Lyakhovets
Системи обробки інформації. — 2010. — № 5(86). — С. 86-91.
УДК 519.6
Мова статті: англійська
Анотації на мовах:

The system is representing hierarchical multilevel approach of clustering and explores dynamic modeling in hierarchical clustering. Presented approach operates on a k-nn graph and hyper graph in which nodes represent data items, and weighted edges represent similarities among the data items. Presented hierarchical multilevel algorithm consists of several stages: building the graph, coarsening, partitioning, uncoarsening. Exploring of different combinations of algorithms on different stages for different data sets is the main goal of the work.
Ключові слова: cluster analysis, hierarchical clustering, coarsening, partitioning, uncoarsening, Chameleon
Інформація про авторів публікації:
Reference:
Lesna, N. S., Shatovska, T. B. and Lyakhovets, A. V. (2010), Research of dynamic clustering on linearly inseparable plagued experimental data, Information Processing Systems, No. 5(86), pp. 86-91