Clustering via Jenks Natural Breaks (JNB) method

Version 1.0.0 (5.19 MB) by MS
Example on using the Jenks Natural Breaks method to cluster a one-dimensional data array into two classes.
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Updated 26 Jun 2025
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Clustering-via-Jenks-Natural-Breaks-Matlab
Example on using the Jenks Natural Breaks method to cluster a one-dimensional data array into two classes.
Jenks Natural Breaks is a data clustering method. It is an optimization process that finds the best arrangement of values into different classes. It can be used for step-change detection in noisy data. In this example, a one-dimensional array of noisy values is used. The method is applied to the array to find the index of the interface separating the high and low values.

Cite As

MS (2026). Clustering via Jenks Natural Breaks (JNB) method (https://github.com/MSH19/Clustering-via-Jenks-Natural-Breaks), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2020b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0

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