Design and implementation of a clustering model for river sectors based on biotope characteristics
作者： Dana Simian , Daniel Hunyadi , Angela Bănăduc
DOI:
关键词:
摘要: The aim of this paper is to introduce models for river sectors clustering based on some biotope characteristics. Cluster analysis realized using hierarchical and non-hierarchical methods in order obtain the optimum number classes. implementation made RapidMiner.
acm.org 参考文章(11)
Paolo Giudici, Silvia Figini, Applied Data Mining for Business and Industry ,(2009)
Daniel T. Larose, Discovering Knowledge in Data: An Introduction to Data Mining ,(2004)
ANA TRAKHTENBROT, RONEN KADMON, Effectiveness of environmental cluster analysis in representing regional species diversity. Conservation Biology. ,vol. 20, pp. 1087- 1098 ,(2006) , 10.1111/J.1523-1739.2006.00500.X
Jinyoung Rhee, Jungho Im, Gregory J. Carbone, John R. Jensen, Delineation of climate regions using in-situ and remotely-sensed data for the Carolinas Remote Sensing of Environment. ,vol. 112, pp. 3099- 3111 ,(2008) , 10.1016/J.RSE.2008.03.001
Robert J. Diaz, Martin Solan, Raymond M. Valente, A review of approaches for classifying benthic habitats and evaluating habitat quality. Journal of Environmental Management. ,vol. 73, pp. 165- 181 ,(2004) , 10.1016/J.JENVMAN.2004.06.004
Peter L. M. Goethals, Special issue ‘Ecological informatics applications in water management’ Aquatic Ecology. ,vol. 41, pp. 371- 372 ,(2007) , 10.1007/S10452-007-9100-8
D. P. Faith, P. A. Walker, Environmental diversity: on the best-possible use of surrogate data for assessing the relative biodiversity of sets of areas Biodiversity and Conservation. ,vol. 5, pp. 399- 415 ,(1996) , 10.1007/BF00056387
Rafi Kent, Yohay Carmel, Evaluation of five clustering algorithms for biodiversity surrogates Ecological Indicators. ,vol. 11, pp. 896- 901 ,(2011) , 10.1016/J.ECOLIND.2010.12.005
V. Simeonov, H. Puxbaum, S. Tsakovski, C. Sarbu, M. Kalina, Classification and receptor modeling of wet precipitation data from central Austria (1984–1993) Environmetrics. ,vol. 10, pp. 137- 152 ,(1999) , 10.1002/(SICI)1099-095X(199903/04)10:2<137::AID-ENV343>3.0.CO;2-I
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Martin Scholz, Timm Euler, YALE: rapid prototyping for complex data mining tasks knowledge discovery and data mining. pp. 935- 940 ,(2006) , 10.1145/1150402.1150531