Jenks Natural Breaks Optimisation Method

The Jenks optimization method, also called the Jenks natural breaks classification method, is a data classification 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 groups. In other words, the method seeks to reduce the variance within classes and maximize the variance between classes.[1]

References

1. Wikiepedia Contributors (2013) Jenks Natural Breaks Optimization URL: http://en.wikipedia.org/wiki/Jenks_natural_breaks_optimization [accessed: 5 November 2013].

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