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Classification of similar productivity zones in the sugar cane culture using clustering of SOM component planes based on the SOM distance matrix
Barreto Sanz, Miguel Arturo ; Pérez-Uribe, Andres
A technique called component planes is commonly used to visualize variables behavior with Self Organizing Map (SOM). A methodology to clustering the component planes based on the SOM distance matrix is presented. This methodology is used in order to classify zones with similar agro-ecological conditions in the sugar cane culture. Analyzing the obtained groups it was possible to extract new knowledge about the relationship between the agro-ecological variables and productivity.
||SOM component planes, distance matrix based clustering of SOM, correlation hunting, sugar cane culture
||Faculty of Technology, Research Groups in Informatics
||Data processing, computer science, computer systems