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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. | | Elektron variant | Elektron variant |
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