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- W2747842328 abstract "In this paper, we propose two novel active learning algorithms: 1) k-mode for classifying the certain and uncertain dataset in a whole dataset, 2) Priority R-Tree clustering the certain and uncertain data for each domain. They handle both supervised and unsupervised dataset. These techniques improve the robustness and accuracy of the clustering outcome to a great extent. By minimizing the expected error with respect to the optimal classifier, experimental results display the cluster using the Gas sensor array drift Dataset." @default.
- W2747842328 created "2017-08-31" @default.
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- W2747842328 date "2016-01-01" @default.
- W2747842328 modified "2023-10-16" @default.
- W2747842328 title "A method for handling clusturing of uncertain data" @default.
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