The Jenks optimization method, also called the Jenks natural breaks classification method, is a data clustering method designed to determine the best arrangement of values into different classes. This is done by seeking to minimize each class's average deviation from the class mean, while maximizing each class's deviation from the means of the other classes. In other words, the method seeks to reduce the variance within classes and maximize the variance between classes.[1][2]
The Jenks optimization method is directly related to Otsu's Method and Fisher's Discriminant Analysis.
^Jenks, George F. 1967. "The Data Model Concept in Statistical Mapping", International Yearbook of Cartography 7: 186–190.
^McMaster, Robert, "In Memoriam: George F. Jenks (1916–1996)". Cartography and Geographic Information Science. 24(1) p.56-59.
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