Comparison of classification and clustering methods in spatial rainfall pattern recognition at Northern Iran

Theoretical and Applied Climatology

Volumn 102, Issue 3, 2010, Pages 319-329

  Golian, Saeed ^a   Saghafian, Bahram ^b   Sheshangosht, Sara ^c   Ghalkhani, Hossein ^c  

^a SHAHROOD UNIVERSITY OF TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c WATER RESEARCH INSTITUTE   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; CLUSTER ANALYSIS; FUZZY MATHEMATICS; MAPPING; PATTERN RECOGNITION; RAINFALL; RAINGAUGE;

IRAN;

EID: 78249241210     PISSN: 0177798X     EISSN: 14344483     Source Type: Journal    
DOI: 10.1007/s00704-010-0267-x     Document Type: Article

References (19)

1. Bezdek JC (1981) Pattern recognition with fuzzy objective function algorithms. Plenum Press, New York, USA, p 256.
2. Bunkers MJ, Miller JR, DeGaetano AT (1996) Definition of climate regions in the Northern plains using an objective cluster modification technique. J Climate 9: 130-146.
3. Claggett PR, Jantz CA, Goetz SJ, Bisland C (2004) Assessing development pressure in the Chesapeake Bay watershed-an evaluation of two landuse change models. Environ Monit and Assess 94: 129-146.
4. Dent BD (1996) Cartography and thematic map design. Wm. C. Brown Publishing, Dubuque, IA.
5. Eischeid JK, Baker CB, Karl TR, Diaz HF (1995) The quality control of long-term climatological data using objective data analysis. J Appl Meteor 34: 2787-2795.
6. Fukuyama Y, Sugeno M (1989) A new method of choosing the number of clusters for the fuzzy c-means method. Proceedings of Fifth Fuzzy Systems Symposium, Kobe, Japan, pp 247-250.
7. Hargrove WW, Hoffman FM (2005) Potential of multivariate quantitative methods for delineation and visualization of ecoregions. Environ Manage 34(1): S39-S60.
8. Jenks GF (1967) The data model concept in statistical mapping. Int Yearb Cartogr 7: 186-190.
9. Kulkarni A, Kripalani RH (1998) Rainfall patterns over India: classification with fuzzy c-means method. Theor Appl Climatol 59: 137-146.
10. Lauzon N, Anctil F, Baxter CW (2006) Clustering of heterogeneous precipitation fields for assessment and possible improvement of lumped neural network models for streamflow forecasts. Hydrol Earth Syst Sci 10: 485-494.
11. Lawson MP, Balling RC Jr, Peter AJ, Rundquist DC (1981) Spatial analysis of secular temperature fluctuations. J Climatol 1: 325-332.
12. McGhee JW (1985) Introductory statistic. West Publishing Co., New York, USA.
13. McMahon TA, Mein RG (1986) River and reservoir yield. Water Resources Publication, Littleton, Colorado, USA.
14. Osaragi T (2002) Classification methods for spatial data representation. CASA (Center of Advanced Spatial Analysis University College London).
15. Ramachandra Rao A, Srinivas VV (2006) Regionalization of watersheds by hybrid-cluster analysis. J Hydrol 318: 37-56.
16. Ramachandra Rao A, Srinivas VV (2008) Regionalization of watersheds: an approach based on cluster analysis. Water Sci Technol Libr 58, Springer, Dordrecht, Netherlands.
17. Schalkoff R (1992) Pattern recognition: statistical, structural and neural approaches. Wiley, NY.
18. Schulz TM, Samson PJ (1988) Nonprecipitating low cloud frequencies for central North America: 1982. J Appl Metro 27: 427-440.
19. Sugeno M, Yasukawa T (1993) A fuzzy-logic-based approach to qualitative modeling. IEEE Trans Fuzzy Syst 1(1). February 1993.