Article

Geographical and genotypic segmentation of arabica coffee using self-organizing maps

2014-05-01

Abstract excerpt

Several statistical methods have been developed in an attempt to reproduce the human capability of pattern recognition. Self-organizing maps (SOMs) are a type of artificial neural network (ANN) with unsupervised learning designed to examine the structure of multidimensional data. This study aimed to conduct a segmentation of the geographical and genotypic coffee grown in the coffee region of Paraná — Brazil using...

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Literature Corpus work: e072054a-88b0-58dd-8c40-1ae9e1516de6
DOI: 10.1016/j.foodres.2014.01.063

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