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Antonio Mucherino (), Petraq J. Papajorgji () and Panos M. Pardalos ()
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Antonio Mucherino: University of Florida
Petraq J. Papajorgji: University of Florida
Panos M. Pardalos: University of Florida

Chapter Chapter 8 in Data Mining in Agriculture, 2009, pp 161-172 from Springer

Abstract: Abstract This book presents details for some of the most frequently used data mining techniques in the field of agriculture.As pointed out in Chapter 1, data mining techniques can be mainly divided into clustering and classification techniques. Clustering techniques are used when there is not any previous knowledge about the data, and hence a partition in clusters grouping similar data is searched.When a training set is available, classification techniques can be applied. In such cases, the training set is exploited for classifying data of unknown classification. The training set can be exploited in two ways: it can be used directly for performing the classification, or it can be used for setting up the parameters of a model which fits the data.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-0-387-88615-2_8

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DOI: 10.1007/978-0-387-88615-2_8

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