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This work is a clustering point of view about how deduce interesting places considering the points and its speed in a trajectory context. The author explain a clustering trajectory technique and associates the discovered clusters with the trajectory context. The objective is to find out interesting places related to the person/object that generated the points of the trajectory looking mainly at the physical features of the trajectory, i.e. its speed. The clustering technique is extended to consider the spatio-temporal data instead use only the position (spatial) approach.