I have been given 6 data sets out of which 5 are training sets. The 5 data sets correspond to 5 drivers.
Each row of a data set consists of a time-stamp followed by a poly-line. The poly-line gives the GPS coordinates (latitude,longitude) of the driver taken every 15th second. So the length of this line gives the time duration of each trip. I have to classify the poly-lines corresponding to each time-stamp to one of these 5 drivers in the last (test) data set.
I need assistance in choosing a classification algorithm. I have only implemented Naive Bayes (text classification) before but I don't think it will work here. I'm having trouble visualizing the approach to solve this problem.