EMU: An expectation maximization based approach for clustering uncertain data

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, no. 4 (2013): 1067-1083

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Real world applications as sensor networks and RFID networks usually generate data with uncertainty. Data uncertainty comes from many sources, as measurement errors, limited precision, data aggregation and so on. Classical data mining applications need to be modified and extended for uncertain data; otherwise, their performances might be ...More

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