Updating Geological Codes Through Iterative Jack-Knife
Riquelme, Alvaro I.
Ortiz, Julian M.
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We present a methodology to classify spatial data carrying only continuous variables into different categories, where categorical clustering is suitable to be applied to the data. The methodology is based in a very simple variation in the use of Bayes’ rule and the jack-knife technique. This study is mainly empirical, and is motivated by good results obtained during the application to a real case study.