Spatio-temporal clustering methods
published: Nov. 15, 2016, recorded: October 2016, views: 1437
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Tracking a person, an animal, or a vehicle generates a vast amount of spatio-temporal data, that has to be processed and analyzed differently from ordinary data generally used in knowledge discovery. This paper presents existing spatiotemporal clustering algorithms, suitable for such data and compares their running time, noise sensitivity, quality of results and the ability to discover clusters according to nonspatial, spatial and temporal values of the objects.
Download slides: sikdd2016_senozetnik_clustering_methods_01.pdf (891.3 KB)
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !