S. Aghabozorgi, A. S. Shirkhorshidi, and Y. W. Teh, Time-series clustering -A decade review, Information Systems, vol.53, pp.16-38, 2015.

S. Aghabozorgi and Y. W. Teh, Stock market co-movement assessment using a three-phase clustering method, Expert Syst. Appl, vol.41, issue.4, 2014.

D. Azzalini, F. Azzalini, D. Greco, M. Mazuran, and L. Tanca, Event recognition strategies applied in the mercurio project, MIDAS, pp.29-30, 2017.

D. Barbard and P. Chen, Tracking clusters in evolving data sets, Data science and Engineering, vol.2, issue.3, pp.210-223, 2001.

B. Daniel, Requirements for clustering data streams, ACM sIGKDD Explorations Newsletter, vol.3, issue.2, pp.23-27, 2002.

E. J. Elton and M. J. Gruber, Improved forecasting through the design of homogeneous groups, The Journal of Business, vol.44, issue.4, pp.432-450, 1971.

M. Gavrilov, D. Anguelov, P. Indyk, and R. Motwani, Mining the stock market, Which measure is best, pp.487-496, 2000.

J. C. Gower and P. Legendre, Metric and euclidean properties of dissimilarity coe cients, vol.3, pp.5-48, 1986.

K. Granstrom, M. Baum, and S. Reuter, Extended object tracking: Introduction, overview and applications, Journal of Advances in Information Fusion, vol.12, issue.2, pp.139-174, 2016.

J. Han, J. Pei, and M. Kamber, Data mining: concepts and techniques, 2011.

C. Huang, R. He, Z. Zhong, B. Ai, and Z. Zhong, Comparison of automatic tracking and clustering algorithms for time-variant multipath components, Globecom Workshops, pp.1-6, 2017.

N. Islam, M. Seera, and C. K. Loo, A robust incremental clustering-based facial feature tracking, Applied Soft Computing, vol.53, pp.34-44, 2017.

J. H. , Hierarchical grouping to optimize an objective function, vol.58, pp.236-244, 1963.

P. Langfelder, B. Zhang, and S. Horvath, Defining clusters from a hierarchical cluster tree: the dynamic tree cut package for r, Bioinformatics, vol.24, issue.5, 2008.

S. J. Mckenna, S. Jabri, Z. Duric, A. Rosenfeld, and H. Wechsler, Tracking groups of people. Computer vision and image understanding, vol.80, pp.42-56, 2000.

M. Spiliopoulou, I. Ntoutsi, Y. Theodoridis, and R. Schult, Monic: modeling and monitoring cluster transitions, ECML/PKDD, pp.706-711, 2006.