The project does the following :
  *load trajectories from HDFS;
  *compute the similarities and construct the fuzzy subjective similarity relation;
  *compute the transitive closure to obtain a fuzzy similarity relation depending on several t-norms and
  two algortihms (semi-naive and smart); 
  *construct the similarity graph and get the connected elements to form the clusters;
  *persist the clusters into MongoDB via the reactive mongodb driver in an async way.