Kuncheva, L. and Hadjitodorov, S.T. (2004) Using Diversity in Cluster Ensembles. IEEE International Conference on Systems, Man and Cybernetics, The Hague, 10-13 October 2004, Vol. 2, 1214-1219.
https://doi.org/10.1109/ICSMC.2004.1399790

has been cited by the following article:

• TITLE: Circulation-Type Classification over Mexico by the Era-Interim Database and Cost733

  AUTHORS: Sergio Natan González-Rocha, Juan Cervantes-Pérez, Fredy Juárez-Pérez, Z. Arturo González-Cerezo, Lizeth Ríos Velasco, Inés Palomino-Méndez, José María Baldasano Recio

  KEYWORDS: Cluster k-Mean, Synoptic Patterns, European Großwettertypes

  JOURNAL NAME: Atmospheric and Climate Sciences, Vol.8 No.2, April 30, 2018

  ABSTRACT: In this paper an approach of a synoptic classification by cluster k-means (CKM) and the European Großwettertypes (GWT) was performed and executed in COST733 package. The methodology used a CKM with nine clusters and GWT with 16. The COST733 evaluated a dataset of 30-years since 1986 to 2015. The variables selected were mean sea level pressure (mslp), geopotential height (z500 and z850), wind speed and direction (u10, v10 and u, v at 850 hPa) and relative vorticity (vo) with a 0.75° × 0.75° resolution of the data grid at 00:00, 06:00, 12:00 and 18:00 UTC and 0 steps. These results were evaluated using COST733 to find the quality of measurements by the explained variance (EV) or reduction ratio in error and pseudo F value (PF) to determine the certainty of the results. GWT-16 showed better yearly values in the evaluation with 32.7 (EV) and 354.3 (PF) against the CKM-9 of 54.2 (EV) and 1621.8 (PF). Finally, it was concluded that GWT-16 could be used for classification of synoptic systems over Mexico and the analysis of meteorological phenomena triggers on increases or decreases of atmospheric pollution in areas over Mexico.