Editorial

EUAN, C., OMBAO, H., and ORTEGA, J. (2018), “The Hierarchical Spectral Merger Algorithm: A New Time Series Clustering Procedure”, Journal of Classification, 35, 71–99. HANDL, J., and KNOWLES, J. (2016), “Nature-Inspired Clustering”, in Handbook of Cluster Analysis, rf. C. Hennig, M. Melia, F. Murtagh, and R. Rocci, Boca Raton, FL: CRC. HONG, C-Y., CHANG, Y.-W., and TSAI, R.-C. (2016), “Estimation of Generalized DINA Model with Order Restrictions”, Journal of Classification, 33, 460–484. JARDINE., N., and SIBSON, R. (1971), Mathematical Taxonomy, New York: Wiley. KOHN, H.-F., and CHIU, C.-Y. (2016), “A Proof of the Duality of the DINA Model and the DINO Model”, Journal of Classification, 33, 171–184. KOHN, H.-F., and CHIU, C.-Y. (2018), “How to Build a Complete Q-matrix for a Cognitively Diagnostic Test”, Journal of Classification, 35, 273–299. MARTINEZ-PEREZ, A. (2016), “On the Properties of α-Unchaining Single Linkage Hierarchical Clsutering”, Journal of Classification, 33, 118–140. MICHAEL, S., and MELNYKOV, V. (2016), “Finite Mixture Modeling of Gaussian Regression Time Series with Application to Dendrochronology”, Journal of Classification, 33, 412–441. MILLIGAN, G.W. (1980), “An Examination of the Effect of Six Types of Error Perturbation on Fifteen Clustering Algorithms”, Psychometrika, 45, 325–342. RAHMANISHAMSI, J., DOLATI, A., and AGHABOZORGI, M.R. (2018), “A Copula Based ICA Algorithm and its Application to Time Series Clustering”, Journal of Classification, 35, 230–249. RAM, N., and GRIMM, K.J. (2009), “Growth Mixture Modeling: A Method for Identifying Differences in Longitudinal Change Among Unobserved Groups”, International Journal of Behavioral Development, 33, 565–576. RUE, H., and HELD, L. (2005), Gaussian Markov Random Fields: Theory and Applications, Boca Raton, FL: CRC Press. SAYED, G.I., DARWISH, A., and HASSANIEN, A.-E. (2018). “A New Chaotic Whale Optimization Algorithm for Feature Selection”, Journal of Classification, 35, 300–344.