Some recent developments in cluster analysis

Physics and Chemistry of the Earth

Volumn 35, Issue 9-12, 2010, Pages 309-315

  Jolliffe, Ian T ^a   Philipp, Andreas ^b  

^a UNIVERSITY OF EXETER   (United Kingdom)

^b UNIVERSITY OF AUGSBURG   (Germany)

Author keywords

Agglomerative clustering; Divisive clustering; K Means; Model based clustering; Time constrained clustering; Unsupervised classification

Indexed keywords

AGGLOMERATIVE CLUSTERING; CONSTRAINED CLUSTERING; DIVISIVE CLUSTERING; K-MEANS; MODEL-BASED CLUSTERING; UNSUPERVISED CLASSIFICATION;

CLUSTER ANALYSIS;

CLASSIFICATION; CLIMATE PREDICTION; CLUSTER ANALYSIS; MODELING; STATISTICAL ANALYSIS; WEATHER FORECASTING;

EID: 77954953205     PISSN: 14747065     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pce.2009.07.014     Document Type: Article

References (15)

1. Ansell T.J., Jones P.D., Allan R.J., Lister D., Parker D.E., Brunet M., Moberg A., Jacobeit J., Brohan P., Rayner N.A., Aguilar E., Alexandersson H., Barriendos M., Brandsma T., Cox N.J., Della-Marta P.M., Drebs A., Founda D., Gerstengarbe F., Hickey K., Jonsson T., Luterbacher J., Nordli O., Oesterle H., Petrakis M., Philipp A., Rodwell M.J., Saladie O., Sigro J., Slonosky V., Srnec L., Swail V., Garcia-Suarez A.M., Tuomenvirta H., Wang X., Wanner H., Werner P., Wheeler D., Xoplaki E. Daily mean sea level pressure reconstructions for the european-north atlantic region for the period 1850-2003. J. Climate 2006, 19:2717-2742.
2. Bednorz E. Synoptic reasons for heavy snowfall in the Polish-German lowlands. Theor. Appl. Climatol 2008, 92:133-140.
3. Christiansen B. Atmospheric circulation regimes: can cluster analysis provide the number?. J. Climate 2007, 20:2229-2250.
4. Cuesta-Albertos J.A., Matrán C., Mayo-Iscar A. Robust estimation in the normal mixture model based on robust clustering. J. Roy. Stat. Soc. B 2008, 70:779-802.
5. Fraiman R., Justel A., Svarc M. Selection of variables for cluster analysis and classification rules. J. Am. Stat. Assoc. 2008, 103:1294-1303.
6. Friedman J.H., Meulman J.J. Clustering objects on subsets of attributes. J. Roy. Stat. Soc. B 2004, 66:815-850. (including discussion).
7. Gordon A.D. Classification 1981, London, Chapman & Hall.
8. Li B. A new approach to cluster analysis: the clustering-function-based method. J. Roy. Stat. Soc. B 2006, 68:457-476.
9. McLachlan G.J. Discriminant Analysis and Statistical Pattern Recognition 1992, Wiley, New York.
10. Moron V., Robertson A.W., Ward M.N., Ndiaye O. Weather types and rainfall over Senegal. Part 1: observational analysis. J. Climate 2008, 21:266-287.
11. Philipp A., Della-Marta P.M., Jacobeit J., Fereday D.R., Jones P.D., Moberg A., Wanner H. Long-term variability of daily North Atlantic-European pressure patterns since 1850 classified by simulated annealing clustering. J. Climate 2007, 20:4065-4095.
12. Raftery A.E., Dean N. Variable selection for model-based clustering. J. Am. Stat. Assoc. 2006, 101:168-178.
13. Smyth P., Ide K., Ghil M. Multiple regimes in Northern hemisphere height fields via mixture model clustering. J. Atmos. Sci. 1999, 56:3703-3723.
14. Strauss D.M., Corti S., Molteni F. Circulation regimes: chaotic variability versus SST-forced predictability. J. Climate 2007, 20:2251-2272.
15. Sugar C.A., James G.M. Finding the number of clusters in a dataset. J. Am. Stat. Assoc. 2003, 98:750-763.