Spatio-temporal clustering methods classification

Nowadays, a vast amount of spatio-temporal data are being generated by devices like cell phones, GPS and remote sensing devices and therefore discovering interesting patterns in such data became an interesting topics for researchers. One of these topics has been spatio-temporal clustering which is a novel sub field of data mining and Recent researches in this area has focused on new methods and ways which are adapting previous methods and solutions to the new problem. In this paper we first define what the spatio-temporal data is and what different it has with other types of data. Then try to classify the clustering methods and done works in this area based on the proposed solutions. classification has been made based on this fact that how these works import and adapt temporal concept in their solutions.