Centroid TRajectory Intuitionistic FCM (CenTr_I_FCM) is a variant of the FCM clustering algorithm, which embodies CenTra at its update procedure. CenTra, tackles the problem of discovering the Centroid Trajectory of a group of movements, taking into advantage the local similarity between portions of trajectories.
CenTr_I_FCM (char * INfilename, char * OUTfilename, double density, int tau, double difference_tolerance, double epsilon, double delta_sigma, int side, int num_of_classes)
The input and output file directory of the algorithm is the “c:\Hermes\IO\”
- N. Pelekis, I. Kopanakis, C. Panagiotakis and Y. Theodoridis “Unsupervised Trajectory Sampling”, In the Proceedings of the ECML PKDD 2010 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD’10), September 20-24, Barcelona, Spain, 2010, Lecture Notes in Computer Science, 2010, Volume 6323/2010, 17-33, DOI: 10.1007/978-3-642-15939-8_2
- N. Pelekis, I. Kopanakis, E. Kotsifakos, E. Frentzos, Y. Theodoridis “Clustering Uncertain Trajectories”, in the Knowledge and Information Systems (KAIS) journal, Springer-Verlag, 1/7/2010, SN:0219-1377, DOI: 10.1007/s10115-010-0316-x. - N. Pelekis, I. Kopanakis, E. Kotsifakos, E. Frentzos and Y. Theodoridis: “Clustering Trajectories of Moving Objects in an Uncertain World”, in the Proc. IEEE International Conference on Data Mining (ICDM09), Miami, FL,USA, 6-9 December 2009. Best application paper award.
Nikos Pelekis, Department of Statistics and Insurance Science, University of Piraeus, firstname.lastname@example.org Ioannis Kopanakis, Tech. Educational Institute of Crete, Greece, email@example.com Evangelos E. Kotsifakos, Dept. of Informatics, Univ. of Piraeus, Greece, firstname.lastname@example.org Elias Frentzos, Dept. of Informatics, Univ. of Piraeus, Greece, email@example.com Yannis Theodoridis, Dept. of Informatics, Univ. of Piraeus, Greece, firstname.lastname@example.org