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This paper focuses on such a nature of human movements as a trajectory in two or three dimensional spaces and proposes a method for grouping trajectories as two-dimensional time-series data, consisting of the following two steps. Firstly, it compared two trajectories based on their structural similarity, determines the best correspondence of partial trajectories and calculates the dissimilarity between...
This paper shows application of trajectory mining techniques to laboratory examination data, where dynamics of two laboratory examinations are represented as a trajectory in a two dimensional plane. Each trajectory is segmented and compared with other trajectories by multiscale matching, and clustered by using similarities obtained by matching technique. Experimental results on chronic hepatitis data...
This paper focuses on clustering of trajectories of temporal sequences of two laboratory examinations. First, we map a set of time series containing different types of laboratory tests into directed trajectories representing temporal change in patientspsila status. Then the trajectories for individual patients are compared in multiscale and grouped into similar cases by using clustering methods. Experimental...
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