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Analyzing Trajectories Using Uncertainty and Background Information
[chapter]
2009
Lecture Notes in Computer Science
A key issue in clustering data, regardless the algorithm used, is the definition of a distance function. In the case of trajectory data, different distance functions have been proposed, with different degrees of complexity. All these measures assume that trajectories are error-free, which is essentially not true. Uncertainty is present in trajectory data, which is usually obtained through a series of GPS of GSM observations. Trajectories are then reconstructed, typically using linear
doi:10.1007/978-3-642-02982-0_11
fatcat:7yjvr5242nb75jwi5ixjoo5g6a