I am working on a trajectory analysis project using Python and its data science related libraries.
I am planning to implement Fréchet distance algorithm for trajectory analysis, each trajectory has sequence of (x,y) coordinates along with timestamp, speed, dist between consecutive points, etc.
I am seeking to implement Fréchet distance to compare each trajectory with another and group the similar curves/trajectories together and form different clusters.
I would like to have some suggestions on this.
Also, I am open to other similarity measure methods like "Dynamic Time Warping" or "Longest common subsequence".