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ITI əməkdaslarının elmi isləri Elektron kitabxana Konfranslar İnformasiya Sistemi Qəzetlər UOT 004
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ITI əməkdaşlarının elmi işləri - tezis


 Biblioqrafik təsvir
 Alguliyev , R.M. Consensus clustering by weight optimization of input partitions. / R.M. Alguliyev , R.M. Aliguliyev , L.V. Sukhostat // Proceedings of 13th IEEE International Conference on Application of Information and Communication Technologies (AICT). - Baku, 2019. - P. 143-146.
 Annotasiya
 This paper proposes a weighted consensus approach for data clustering, where each input basic clustering method is weighted. The weights are automatically determined by solving an optimization problem. Experiments are carried out on three datasets: NSL-KDD, Forest Cover Type, and Phone Accelerometer datasets. The results show the effectiveness of the the proposed approach to Big data clustering compared to single clustering methods.
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