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Unsupervised feature selection algorithms for wireless sensor networks
2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications
A wireless sensor network (WSN) is a distributed measurement system deployed over a geographical area to acquire physical information which, depending on the nature of the monitoring phenomenon, can be spatially correlated in space and time. Spatial correlation, to be intended here at different levels, can be exploited to reduce the communication bandwidth, implement articulated sensing and carry out energy saving policies. The paper aims at investigating unsupervised feature selectiondoi:10.1109/cimsa.2009.5069913 fatcat:l4fnnlzs2jasbkua3ilxg4sf4q