Classification of similar productivity zones in the sugar cane culture using clustering of SOM component planes based on the SOM distance matrix

Authors

  • Miguel Arturo Barreto Sanz
  • Andres Pérez-Uribe

DOI:

https://doi.org/10.2390/biecoll-wsom2007-150

Keywords:

SOM component planes, distance matrix based clustering of SOM, correlation hunting, sugar cane culture, DDC: 004 (Data processing, computer science, computer systems)

Abstract

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.

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Published

2007-12-31